(Vithun Khamsong/Getty Images)

This report covers results from the 16th Future of the Internet canvassing that Pew Research Center and Elon Universitys Imagining the Internet Center have conducted together to gather expert views about important digital issues. This is a nonscientific canvassing based on a nonrandom sample; this broad array of opinions about where the potential influence of current trends may lead society between 2023 and 2035 represents only the points of view of the individuals who responded to the queries.

Pew Research Center and Elons Imagining the Internet Center sampled from a database of experts to canvass from a wide range of fields, inviting entrepreneurs, professionals and policy people based in government bodies, nonprofits and foundations, technology businesses and think tanks, as well as interested academics and technology innovators. The predictions reported here came in response to a set of questions in an online canvassing conducted between Dec. 27, 2022, and Feb. 21, 2023. In all, 305 technology innovators and developers, business and policy leaders, researchers and activists responded in some way to the question covered in this report. More on the methodology underlying this canvassing and the participants can be found in the section titled About this canvassing of experts.

Spurred by the splashy emergence of generative artificial intelligence and an array of other AI applications, experts participating in a new Pew Research Center canvassing have great expectations for digital advances across many aspects of life by 2035. They anticipate striking improvements in health care and education. They foresee a world in which wonder drugs are conceived and enabled in digital spaces; where personalized medical caregives patients precisely what they need when they need it; where people wear smart eyewear and earbuds that keep them connected to the people, things and information around them; where AI systems can nudge discourse into productive and fact-based conversations; and where progress will be made in environmental sustainability, climate action and pollution prevention.

At the same time, the experts in the new canvassing worry about the darker sides of many of the developments they celebrate. Key examples:

In sum, the experts in this canvassing noted that humans choices to use technologies for good or ill will change the world significantly.

These predictions emerged from a canvassing of technology innovators, developers, business and policy leaders, researchers and academics by Pew Research Center and Elon Universitys Imagining the Internet Center. Some 305 responded to this query:

As you look ahead to the year 2035, what are the BEST AND MOST BENEFICIAL changes that are likely to occur by then in digital technology and humans use of digital systems? What are the MOST HARMFUL OR MENACING changes likely to occur?

Many of these experts wrote long, detailed assessments describing potential opportunities and threats they see to be most likely. The full question prompt specifically encouraged them to share their thoughts about both kinds of impacts positive and negative. And our question invited them to think about the benefits and costs of five specific domains of life:

They were also asked to indicate how they feel about the changes they foresee.

Some 79% of the canvassed experts said they are more concerned than excited about coming technological change or equally concerned and excited. These respondents spoke of their fears in the following categories:

The experts who addressed this fear wrote about their concern that digital systems will continue to be driven by profit incentives in economics and power incentives in politics. They said this is likely to lead to data collection aimed at controlling people rather than empowering them to act freely, share ideas and protest injuries and injustices. These experts worry that ethical design will continue to be an afterthought and digital systems will continue to be released before being thoroughly tested. They believe the impact of all of this is likely to increase inequality and compromise democratic systems.

These experts fear new threats to rights will arise as privacy becomes harder, if not impossible, to maintain. They cite surveillance advances, sophisticated bots embedded in civic spaces, the spread of deepfakes and disinformation, advanced facial recognition systems, and widening social and digital divides as looming threats. They foresee crimes and harassment spreading more widely, and the rise of new challenges to humans agency and security. A topmost concern is the expectation that increasingly sophisticated AI is likely to lead to the loss of jobs, resulting in a rise in poverty and the diminishment of human dignity.

They fear that the best of knowledge will be lost or neglected in a sea of mis- and disinformation, that the institutions previously dedicated to informing the public will be further decimated, that basic facts will be drowned out in a sea of entertaining distractions, bald-faced lies and targeted manipulation. They worry that peoples cognitive skills will decline. In addition, they argued that reality itself is under siege as emerging digital tools convincingly create deceptive or alternate realities. They worry that a class of doubters will hold back progress.

A share of these experts said humanitys embrace of digital systems has already spurred high levels of anxiety and depression and predicted things could worsen as technology embeds itself further in peoples lives and social arrangements. Some of the mental and physical problems could stem from tech-abetted loneliness and social isolation; some could come from people substituting tech-based experiences for real-life encounters; some could come from job displacements and related social strife; and some could come directly from tech-based attacks.

The experts who addressed these issues fear that norms, standards and regulation around technology will not evolve quickly enough to improve the social and political interactions of individuals and organizations. Two overarching concerns: a trend toward autonomous weapons and cyberwarfare, and the prospect of runaway digital systems. They also said things could worsen as the pace of tech change accelerates. They expect that peoples distrust in each other may grow and their faith in institutions may deteriorate. This, in turn, could deepen already undesirable levels of polarization, cognitive dissonance and public withdrawal from vital discourse. They fear, too, that digital systems will be too big and important to avoid, and all users will be captives.

Some 18% of the canvassed experts said they are more excited than concerned about coming technological change and 42% said they are equally excited and concerned. They shared their hopes related to the following themes:

These experts covered a wide range of likely digital enhancements in medicine, health, fitness and nutrition; access to information and expert recommendations; education in both formal and informal settings; entertainment; transportation and energy; and other spaces. They believe that digital and physical systems will continue to integrate, bringing smartness to all manner of objects and organizations, and expect that individuals will have personal digital assistants that ease their daily lives.

These experts believe digital tools can be shaped in ways that allow people to freely speak up for their rights and join others to mobilize for the change they seek. They hope ongoing advances in digital tools and systems will improve peoples access to resources, help them communicate and learn more effectively, and give them access to data in ways that will help them live better, safer lives. They urged that human rights must be supported and upheld as the internet spreads to the farthest corners of the world.

These respondents hope for innovations in business models; in local, national and global standards and regulation; and in societal norms. They wish for improved digital literacy that will revive and elevate trusted news and information sources in ways that attract attention and gain the publics interest. And they hope that new digital tools and human and technological systems will be designed to assure that factual information will be appropriately verified, highly findable, well-updated and archived.

These experts expect that the many positives of digital evolution will bring a health care revolution that enhances every aspect of human health and well-being. They emphasize that full health equality in the future should direct equal attention to the needs of all people while also prioritizing their individual agency, safety, mental health and privacy and data rights.

Hopeful experts said society is capable of adopting new digital standards and regulations that will promote pro-social digital activities and minimize antisocial activities. They predict that people will develop new norms for digital life and foresee them becoming more digitally literate in social and political interactions. They said in the best-case scenario, these changes could influence digital life toward promoting human agency, security, privacy and data protection.

Many of the respondents quite succinctly outlined their expectations for the best and worst in digital change by 2035. Here are some of those comments. (The remarks made by the respondents to this canvassing reflect their personal positions and are not the positions of their employers. The descriptions of their leadership roles help identify their background and the locus of their expertise. Some responses are lightly edited for style and readability.)

Decentralization is a promising trend in platform distribution. Web 2.0 companies grew powerful by creating centralized platforms and amassing large amounts of social data. The next phase of the web promises more user ownership and control over how our data, social interactions and cultural productions are distributed. The decentralization of intellectual property and its distribution could provide opportunities for communities that have historically lacked access to capitalizing on their ideas. Already, users and grassroots organizations are experimenting with new decentralized governance models, innovating in the long-standing hierarchical corporate structure.

However, the automation of story creation and distribution through artificial intelligence poses pronounced labor equality issues as corporations seek cost-benefits for creative content and content moderation on platforms. These AI systems have been trained on the un- or under-compensated labor of artists, journalists and everyday people, many of them underpaid labor outsourced by U.S.-based companies. These sources may not be representative of global culture or hold the ideals of equality and justice. Their automation poses severe risks for U.S. and global culture and politics. As the web evolves, there remain big questions as to whether equity is possible or if venture capital and the wealthy will buy up all digital intellectual property. Conglomeration among firms often leads to market manipulation, labor inequality and cultural representations that do not reflect changing demographics and attitudes. And there are also climate implications for many new technological developments, particularly concerning the use of energy and other material natural resources.

As communication technology advances into 2035 it will allow people to learn from one another in ever more diverse, multifaceted, widely distributed social networks. We will be able to grow healthier, happier, more knowledgeable and more connected as we create and traverse these networked pathways together. The development of digital systems that are credible, secure, low-cost and user-friendly will inspire all kinds of innovations and job opportunities. If we have these types of networks and use them to their fullest advantage, we will have the means and the tools to shape the kind of society we want to live in. Unfortunately, the commodification of human thought and experience online will accelerate as we approach 2035. Technology is already used not only to harvest, appropriate and sell our data, but also to manufacture and market data that simulates the human experience, as with applications of artificial intelligence. This has the potential to degrade and diminish the specialness of being human, even as it makes some humans very rich. The extent and verisimilitude of these practices will certainly increase as technology permits the replication of human thought and likeness in ever more realistic ways. But it is human beings who design, develop, unleash, interpret and use these technological tools and systems. We can choose to center the humanity of these systems and to support those who do so, and we must.

By 2035, technology will have developed a window into many inequities of life, thereby empowering individuals to advocate for greater access to and authority over decision-making currently entrusted to people with inscrutable agendas and biases. The power of the individual will expand with communication, artistic and educational capacities not known throughout previous human history. However, if trends remain as they are now, people, organizations and governments interested in accumulating power and wealth over the broader public interest will apply these technologies toward increasingly repressive and extractive aims. It is vital that there be a concerted, coordinated and calm effort to globally empower humans in the governance of artificial intelligence systems. This is required to avoid the worst possibilities of complex socio-technical systems. At present, we are woefully unprepared and show no signs of beginning collaborative efforts of the scale required to sufficiently address the problem.

To have an optimistic view of the future you must imagine several potential positives come to fruition to overcome big issues:

There is great potential for digital technologies to improve health and medical care. Out of necessity, digital health care will become a norm. Remote diagnostics and monitoring will be especially valuable for aging and rural populations that find it difficult to travel. Connected technologies will make it easier for specialized medical personnel to work together from across the country and around the world. Medical researchers will benefit from advances in digital data, tools and connections, collaborating in ways never before possible.

However, many digital technologies are taking more than they give. And what we are giving up is difficult, if not impossible, to get back. Todays digital spaces, populated by the personal data of people in the real world, is lightly regulated and freely exploited. Technologies like generative AI and cryptocurrency are costing us more in raw energy than they are returning in human benefit. Our digital lives are generating profit and power for people at the top of the pyramid without careful consideration of the shadows they cast below, shadows that could darken our collective future. If we want to see different outcomes in the coming years, we will need to rethink our ROI [return on investment] calculations and apply broader, longer-term definitions of return. We are beginning to see more companies heading in this direction, led by people who arent prepared to sacrifice entire societies for shareholders profits, but these are not yet the most-powerful forces. Power must shift and priorities must change.

Here is a small selection of responses that touch on the themes related to menaces and harms that could happen between now and 2035.

My best hope is that human wisdom and willingness to act will not lag so much that they are unable to respond effectively to the worst of the new challenges accompanying innovation in digital life. The worst likely outcome is that humans will develop too much trust and faith in the utility of the applications of digital life and become ever more confused between what they want and what they need. The result will be that societal actors with greater power than others will use the new applications to increase these power differentials for their own advantage. The most beneficial change in digital life might simply be that things dont get much worse than they are now with respect to pollution in and corruption of the information environment. Applications such as ChatGPT will get better without question, but the ability of humans to use such applications wisely will lag.

The following potential harmful outcomes are possible if trendlines continue as they have been to this point:

I worry that humanity will largely accept the hyper-individualism and social and moral distance made possible by digital technology and assume that this is how society should function. I worry that our social and political divisions will grow wider if we continue to invest ourselves personally and institutionally in the false efficiencies and false democracies of Twitter-like social media.

There are organizations today that profit from being perceived as merchants of truth. The judicial system is based on the idea that the truth can be established through an impartial and fair hearing of evidence and arguments. Historically, we have trusted those actors and their expertise in verifying information. As we transition to building trust into digital media files through techniques like authentication-at-source and blockchain ledgers that provide an audit trail of how a file has been altered over time, there may be attempts to use regulation to limit how we can cryptographically establish the authenticity and provenance of digital media. More online regulation is inevitable given the importance of the Internet economically and socially and the likelihood that digital media will increasingly be used as evidence in legal proceedings. But will we get the regulation right? Will we regulate digital media in a way that builds trust, or will we create convoluted, expensive authentication techniques that increase the cost of justice?

The concentration of ad revenue and the lack of a viable alternative source of income will further diminish the reach and capabilities of local news media in many countries, degrading the information ecosystem. This will increase polarization, facilitate government corruption and reduce citizen engagement.

Synthetic humans and robot friends may increase our social isolation. The demise of the office or a school campus as a gathering place will leave us hungry for human companionship and may cause us to lose our most-human skills: empathy and compassion. We become man and his machine rather than man and his society. The consumerization of AI will augment, if not replace, most of the white-collar jobs, including in traditional office work, advertising and marketing, writing and programming. Since work wont be a thing anymore, well need to find some means of compensation for our contribution to humanity. How much we contribute to the web? A Universal Basic Income because we were the ones who taught AI to do our jobs? It remains to be seen, but the AI Revolution will be as huge as the Industrial Revolution.

Higher education will face a crisis like never before. Exorbitant pricing and lack of parity with the real world makes college seem quite antiquated. Im wagering that 50% of higher education in the United States will be forced to close down. We will devise other systems of degrees and badges to prove competency. The most critical metaverse will be a digital twin of everything cities, schools and factories, for example. These twins coupled with IoT [Internet of Things] devices will make it possible to create simulations, inferences and prototypes for knowing how to optimize for efficiency before ever building a single thing.

I am particularly concerned about the increasing surveillance associated with digital content and tools. Unfortunately, there seems to be a counterincentive for governments to legislate for privacy, since they are often either the ones doing the surveilling, or they consume the information collected by others. As the public realizes more and more about the ways they are watched, it is likely to affect their behavior and mental state.

Human rights will become an oxymoron. Censorship, social credit and around-the-clock surveillance will become ubiquitous worldwide; there is nowhere to hide from global dictatorship. Human governance will fall into the hands of a few unelected dictators. Human knowledge will wane and there will be a growing idiocracy due to the publics digital brainwashing and the snowballing of unreliable, misleading, false information. Science will be hijacked and only serve the interests of the dictator class. In this setting, human health and well-being is reserved for the privileged few; for the majority, it is completely unconsidered. Implanted chips constantly track the health of the general public, and when they become a social burden, their lives are terminated.

Several main themes also emerged among these experts expectations for the best and most beneficial changes in digital life between 2023 and 2035. Here is a small selection of responses that touch on those themes.

A human-centered approach to technology development is driven by deep understanding of human needs, which leads to design-thinking strategies that bring successful products and services. Human-centered user interface design guidelines, principles and theories will enable future designers to create astonishing applications that facilitate communication, improve well-being, promote business activities and much more. Building tools that give users superpowers is what brought users email, the web, search engines, digital cameras and mobile devices. Future superpowers could enable reduction of disinformation, greater security/privacy and improved social connectedness. This could be the Golden Age of Collaboration, with remarkable global projects such as developing COVID-19 vaccine in 42 days. The future could be made brighter if similar efforts were devoted to fighting climate change, restoring the environment, reducing inequality and supporting the 17 UN Sustainable Development Goals. Equitable and universal access to technology could improve the lives of many, including those users with disabilities. The challenge will be to ensure human control, while increasing the level of automation.

We will see a proliferation of AI systems to help with medical diagnosis and research. This may cover a wide range of applications, such as: expert systems to detect breast cancer or other X-ray/imaging analysis; protein folding, etc., and discovery of new drugs; better analytics on drug and other testing; limited initial consultation for doing diagnosis at medical visits. Similar improvements will be seen in many other fields, for instance, astronomical data-analysis tools.

I continue to be hopeful that new platforms and tech will find ways around the totalitarian capitalist systems we live in, allowing us to connect with each other on fundamentally human levels. My own first love of the internet was finding out that I wasnt alone in how I felt or in the things I liked and finding community in those things. Even though many of those protocols and platforms have been co-opted in service of profit-making, developers continue to find brilliant paths of opening up human connection in surprising ways. Im also hopeful the current trend of hyper-capitalistic tech driving people back to more fundamental forms of internet communication will continue. Email as a protocol has been around for how long? And its still, as much as we complain about its limitations, a main way we connect.

Among the developments well see come along well are self-driving cars, which will reduce congestion, carbon emissions and road accidents. Automated drug discovery will revolutionize the use of pharmaceuticals. This will be particularly beneficial where speed or diversity of development is crucial, as in cancer, rare diseases and antibiotic resistance. We will start to see platforms for political news, debate and decision-making that are designed to bring out the best of us, through sophisticated combinations of human and automated moderation. AI assistants will be able to write sophisticated, well-cited research briefs on any topic. Essentially, most people will have access to instant-specialist literature reviews.

Human-centered development of digital tools can profoundly impact the way we work and learn. Specifically, by coupling digital phenotypes (i.e., real-time, moment-by-moment quantification of the individual-level human phenotype, in situ, using data from personal digital devices, in particular smartphones) with digital twins (i.e., digital representation of an intended or actual real-world physical product, system or process), it will be possible to optimize both human and system performance and well-being. Through this symbiosis, interactions between humans and systems can be adapted in real-time to ensure the system gets what it needs (e.g., predicted maintenance) and the human can get what it needs (e.g., guided stress-reducing mechanisms), thereby realizing truly transformational gains in the enterprise.

The greatest benefit related to the digital world is that technology will allow people to have access to equal opportunities both in the world of work and in culture, allowing them to discover other places, travel, study, share and enjoy spending time in real-life experiences.

Direct human connections will continue to grow over the next decade-plus, with more local community-building and not as many global or regional or national divisions. People will have more time and a more sophisticated appreciation for the benefits and limits of technology. While increased electrification will result in ubiquity of digital technology, people will use it more seamlessly, not being online or offline. Having been through a dark period of transition, a sensibility around human rights will emerge in places where human rights are currently protected and will find itself under greater protection in many more places, not necessarily under the umbrella term of human rights.

Artificial Intelligence is poised to greatly improve human well-being by providing assistance in processing information and enhancing daily life. From digital assistants for the elderly to productivity tools for content creation and disinformation detection, to health and hygiene innovations such as AI-powered gadgets, AI technology is set to bring about unprecedented advancements in various aspects of our lives. These advances will not only improve our daily routines but also bring about a new level of convenience and efficiency that has not been seen for centuries. With the help of AI, even the most mundane tasks such as brushing teeth or cutting hair can be done with little to no effort and concern, dramatically changing the way we have struggled for centuries.

We will learn new ways in which humans and AIs can collaborate. Humans will remain the center of the situation. That doesnt mean that they will always be in control, but they will always control when and how they delegate selected activities to one or more AIs.

Digital and immersive technologies and artificial intelligence will continue to exponentially transform human connections and knowledge across the domains of work, entertainment and social engagement. By 2035, the transition of talent acquisition, onboarding, learning and development, performance management and immersive remote work experiences into the metaverse enabled by Web3 technologies will be normalized and optimized. Work, as we know it, will be absolutely transformed. If crafted and executed ethically, responsibly and through a human-centered lens, transitioning work into the metaverse can be beneficial to workers by virtue of increased flexibility, creativity and inclusion. Additionally, by 2035, generative artificial intelligence (GAI) will be fully integrated across the employee experience to enhance and direct knowledge acquisition, decision-making, personalized learning, performance development, engagement and retention.

I hope to see the rise of the systematic organization of citizen education on digital literacy with a strong focus on information literacy. This should start in the earliest years and carry forward through life. I hope to see the prioritization of the ethics component (including bias evaluation) in the assessment of any digital system. I hope to see the emergence of innovative business models for digital systems that are NOT based on advertising revenue, and I hope that we will find a way to give credit to the real value of information.

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As AI Spreads, Experts Predict the Best and Worst Changes in ... - Pew Research Center

Image Credits: OceanGate Inc. under a license.

Hello, lovelies, and welcome to Week in Review (WiR), TechCrunchs regular newsletter that recaps the week in tech. For many folks, this workweek was a day shorter, thanks to the Juneteenth observance on Monday. But plenty happened.

Weve got coverage on the OceanGate tragedy, and weve continued to closely track the Reddit API controversy which shows no signs of abating. Elsewhere, TC has a full review of the new Google Pixel Tablet (spoiler alert: the bundled dock is a major highlight), and we have the skinny on Microsofts quantum plans and more.

If you havent already, sign up here to get WiR in your inbox every Saturday. Then read on for the weeks digest.

OceanGate fired a whistleblower: The director of marine operations at OceanGate, the company whose submersible went missing Sunday on an expedition to the Titanic in the North Atlantic, was fired after raising concerns about its first-of-a-kind carbon fiber hull and other systems before its maiden voyage, according to a court filing in a 2018 lawsuit.

Hackers threaten to leak Reddit data: Hackers are threatening to release confidential data stolen from Reddit unless the company pays a ransom demand and reverses its controversial API price hikes. In a post on its dark web leak site, the BlackCat ransomware gang, also known as ALPHV, claims to have stolen 80 gigabytes of compressed data from Reddit during a February breach of the companys systems.

Reddit protests continue:In more Reddit news, multiple subreddits are adopting alternative methods of protesting the aforementioned API changes, such as publishing only one kind of post, changing the topic in focus and days when the community turns private. Many of these communities took part in a blackout from June 1214 to protest the API rule changes, which could effectively kill a host of third-party apps.

Google Pixel Tablet review: Brian reviews the new Pixel Tablet, Googles first attempt in a minute at an Android-powered device with a tablet form factor. The verdict? The so-so slate is greater than the sum of its parts with the addition of a bundled smart home dock. Read on for the rest of his impressions.

Microsoft gets serious about quantum: This week, Microsoft announced its roadmap for building a quantum supercomputer, using the topological qubits the companys researchers have been working on for quite some time. Theres still plenty of intermediary milestones to be reached. But the company believes that itll take fewer than 10 years to build a quantum supercomputer using these qubits.

WhatsApp gets automatic silencing: WhatsApp has introduced a new feature to automatically silence calls from unknown numbers. It comes after multiple customers in India, the chat apps biggest market with more than 500 million users, complained about an increase in spam calls over the past year.

Marvels AI art controversy: Marvels latest series, Secret Invasion, made its debut on Disney+ this week sparking backlash after it was confirmed that the intro sequence was AI-generated. Method Studios, the VFX company responsible for the graphics, told The Hollywood Reporter,No artists jobs were replaced by incorporating these new tools but that didnt stop many artists from taking to Twitter express their frustrations.

Board members quit Byjus: On Thursday, global giant Deloitte quit as the auditor of Byjus and three board members resigned from the most valuable Indian startup, sending a shock wave through the industry a year after the Indian firms tardy financial reporting attracted global scrutiny.

Need a podcast to pass the commute or just a lazy Sunday afternoon? TechCrunch has you covered. Theres bound to be something that appeals in TCs growing audio content stable.

This weeks episode of Found featured Web Sun, the co-founder and president of Komodo Health, a startup that uses data to create a comprehensive map of the U.S. healthcare system. Web opened up about what drove him to entrepreneurship and how mutual friends introduced him to his co-founder, thinking theyd get along (little did they know!). He also talked about navigating fundraising during the bull market and layoffs a timely topic to be sure.

TC+ subscribers get access to in-depth commentary, analysis and surveys which you know if youre already a subscriber. If youre not,consider signing up. Here are a few highlights from this week:

Europes and Israels unicorns: Accel partner Harry Nelis writes about how, in the last two decades, weve seen a wealth of strong founders and operators emerge across Europe and Israel, building innovative products and category-defining unicorn companies that are now competing on the global stage.

Coinbase, the next super app: As the crypto markets continue to face uncertainty, Coinbases CEO Brian Armstrong sees greater potential for the digital asset ecosystem to grow. In the next five to seven years, Armstrongs vision for Coinbase includes turning it into a super app, referring to apps like WeChat and Alipay, which are used for messaging, commerce, banking, loans, payments and even for ordering food.

AI infiltrates crowdsourced work: A new paper from researchers at Swiss university EPFL suggests that between 33% and 46% of distributed crowd workers on Amazon Mechanical Turk appear to have cheated when performing a particular task assigned to them, using tools such as ChatGPT to do some of the work. If that practice is widespread, it may turn out to be a pretty serious issue, Haje writes.

Get your TechCrunch fix IRL. Join us at Disrupt 2023 in San Francisco this September to immerse yourself in all things startup. From headline interviews to intimate roundtables to a jam-packed startup expo floor, theres something for everyone at Disrupt. Save up to $600 when you buy your pass now through August 11, and save 15% on top of that with promo code WIR. Learn more.

Read more from the original source:

OceanGate fires a whistleblower, hackers threaten to leak Reddit data, and Marvel embraces AI art - TechCrunch

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Advertisers should beware being too creative with AI - Financial Times

Investors can't get enough of artificial intelligence (AI) stocks these days.

The technology has gripped the investing world following the exploding popularity of ChatGPT, and businesses in the tech sector and beyond are looking for ways to capitalize on generative AI and other forms of artificial intelligence.

Naturally, investors are also excited about the breakthrough technology, and their enthusiasm has pumped up a number of AI stocks in 2023. Bullishness around AI has lifted the Nasdaq to major gains this year -- the tech-centric index is up 31% year to date.

However, not all AI stocks are created equal. Keep reading to see one that could help you retire early and another that could sink your portfolio.

Image source: Getty Images.

If you're looking for AI stocks with multibagger potential, one great candidate is Upstart (UPST -5.85%).

Upstart is a loan originator and servicer that uses an AI-based system to screen would-be borrowers and determine their creditworthiness. The company says that its technology, which assesses 1,500 variables and more than 44 million data events, produces loans at higher approval rates and with fewer defaults than loans based on conventional FICO scores.

The disruptive potential of Upstart is considerable. The company, which currently offers consumer and auto loans, could eventually compete in a total lending market worth $4 trillion, including home loans and small business loans. Upstart plans to expand into the home equity line of credit (HELOC) market later this year, its first entry into the massive home lending market.

Upstart has demonstrated its ability to turn a profit as its profit margin reached a peak of 16% in 2021.

But the stock crashed in 2022 as interest rates spiked, credit markets tightened, and its lending partners pulled back on buying loans. Now, there are signs the company is turning the corner following the stock's 97% plunge from its all-time high.

Revenue in the second quarter is expected to increase sequentially by 31%, and interest rates seem to be plateauing after the Fed decided to pause rate hikes last week. That's a sign the worst of the credit tightening cycle is probably behind us. Meanwhile, the number of banking partners working with Upstart has jumped to 99 from just 10 at its IPO and 50 a year ago.

Investors also seem to be recognizing that turnaround potential -- the stock is up about 150% since the beginning of May. If revenue growth and profitability return, the stock could soar, especially if its AI technology continues to gain adoption.

Additionally, a short squeeze seems to have helped pump the stock up in recent weeks and could continue to do so, as 34% of the stock was sold short as of May 31. With those potential tailwinds, it wouldn't be surprising to see the stock continue its surge over the rest of the year and beyond.

Unfortunately, not every AI stock will be a one-way ticket to an early retirement.

C3.ai(NYSE: AI) has been one of the biggest winners on the market in 2023 -- the enterprise AI platform operator is up 250% this year. However, those gains were driven almost entirely by hype and CEO Thomas Siebel's own attempts to pump up the stock.

For instance, even as companies likeNvidia andOracle reported strong growth from AI, C3.ai posted flat revenue and wide losses in its most recent quarter. On a generally accepted accounting principles (GAAP) basis, the company lost $65.0 million on revenue of just $72.4 million in its fiscal 2023 fourth quarter, which ended April 30.

Management expects some improvement in its fiscal 2024, calling for revenue growth of around 15%, and it said it would exit the year with an adjusted profit.

While that seems to show the stock is building momentum after switching to a consumption-based billing model and as interest in AI spreads, C3.ai still looks unreasonably expensive for its growth rate, trading at a price-to-sales ratio of 16.

That means the stock could easily plunge if upcoming results don't live up to expectations, which seems likely given its track record.

If you're looking for AI stocks to buy, there are plenty of better options than C3.ai.

Here is the original post:

1 AI Stock That Could Take You to Easy Street -- and 1 That Could ... - The Motley Fool

Summary: As artificial intelligence (AI) evolves, its intersection with neuroscience stirs both anticipation and apprehension. Fears related to AI loss of control, privacy, and human value stem from our neural responses to unfamiliar and potentially threatening situations.

We explore how neuroscience helps us understand these fears and suggests ways to address them responsibly. This involves dispelling misconceptions about AI consciousness, establishing ethical frameworks for data privacy, and promoting AI as a collaborator rather than a competitor.

Key Facts:

Source: Neuroscience News

Fear of the unknown is a universal human experience. With the rapid advancements in artificial intelligence (AI), our understanding and perceptions of this technologys potential and its threats are evolving.

The intersection of neuroscience and AI raises both excitement and fear, feeding our imagination with dystopian narratives about sentient machines or providing us hope for a future of enhanced human cognition and medical breakthroughs.

Here, we explore the reasons behind these fears, grounded in our understanding of neuroscience, and propose paths toward constructive dialogue and responsible AI development.

The Neuroscience of Fear

Fear, at its core, is a primal emotion rooted in our survival mechanism. It serves to protect us from potential harm, creating a heightened state of alertness.

The amygdala, a small almond-shaped region deep within the brain, is instrumental in our fear response. It processes emotional information, especially related to threats, and triggers fear responses by communicating with other brain regions.

Our understanding of AI, a complex and novel concept, creates uncertainty, a key element that can trigger fear.

AI and Neuroscience: A Dialectical Relationship

AIs development and its integration into our lives is a significant change, prompting valid fears. The uncanny similarity between AI and human cognition can induce fear, partly due to the human brains tendency to anthropomorphize non-human entities.

This cognitive bias, deeply ingrained in our neural networks, can make us perceive AI as a potential competitor or threat.

Furthermore, recent progress in AI development has been fueled by insights from neuroscience. Machine learning algorithms, particularly artificial neural networks, are loosely inspired by the human brains structure and function.

This bidirectional relationship between AI and neuroscience, where neuroscience inspires AI design and AI, in turn, offers computational models to understand brain processes, has led to fears about AI achieving consciousness or surpassing human intelligence

The Fear of AI

The fear of AI often boils down to the fear of loss loss of control, loss of privacy, and loss of human value. The perception of AI as a sentient being out of human control is terrifying, a fear perpetuated by popular media and science fiction.

Moreover, AI systems capabilities for data analysis, coupled with their lack of transparency, raise valid fears about privacy and surveillance.

Another fear is the loss of human value due to AI outperforming humans in various tasks. The impact of AI on employment and societal structure has been a significant source of concern, considering recent advancements in robotics and automation).

The fear that AI might eventually replace humans in most areas of life challenges our sense of purpose and identity.

Addressing Fears and Building Responsible AI

While these fears are valid, it is crucial to remember that AI is a tool created by humans and for humans. AI does not possess consciousness or emotions; it only mimics cognitive processes based on its programming and available data. This understanding is vital in dispelling fears of a sentient AI.

Addressing privacy concerns requires establishing robust legal and ethical frameworks for data handling and algorithmic transparency.

Furthermore, interdisciplinary dialogue between neuroscientists, AI researchers, ethicists, and policymakers is crucial in navigating the societal impacts of AI and minimizing its risks.

Emphasizing the concept of human-in-the-loop AI, where AI assists rather than replaces humans, can alleviate fears of human obsolescence. Instead of viewing AI as a competitor, we can view it as a collaborator augmenting human capabilities.

The fear of AI, deeply rooted in our neural mechanisms, reflects our uncertainties about this rapidly evolving technology. However, understanding these fears and proactively addressing them is crucial for responsible AI development and integration.

By fostering constructive dialogue, establishing ethical guidelines, and promoting the vision of AI as a collaborator, we can mitigate these fears and harness AIs potential responsibly and effectively.

Author: Neuroscience News CommunicationsSource: Neuroscience NewsContact: Neuroscience News Communications Neuroscience NewsImage: The image is credited to Neuroscience News

Citations:

Patiency is not a virtue: the design of intelligent systems and systems of ethics by Joanna J. Bryson. Ethics and Information Technology

Hopes and fears for intelligent machines in fiction and reality by Stephen Cave et al. Nature Machine Intelligence

What AI can and cant do (yet) for your business by Chui, M et al. McKinsey Quarterly

What is consciousness, and could machines have it? by Dehaene, S et al. Science

On seeing human: a three-factor theory of anthropomorphism by Epley, N et al. Psychological Review

Neuroscience-inspired artificial intelligence by Hassabis, D et al. Neuron

Feelings: What are they & how does the brain make them? by Joseph E. LeDoux. Daedalus

Evidence that neural information flow is reversed between object perception and object reconstruction from memory by Juan Linde-Domingo et al. Nature Communications

On the origin of synthetic life: attribution of output to a particular algorithm by Roman V Yampolskiy. Physica Scripta

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Neuroscience, Artificial Intelligence, and Our Fears: A Journey of ... - Neuroscience News