Category Archives: Artificial Intelligence
World Health Day: How Will AI Impact the Future of Healthcare … – The Weather Channel
Representational Image
A few decades from now, healthcare as we know it will see a fundamental shift. In fact, the transformation is already underway, driven by technological integration and innovation in healthcare. At the forefront of this revolution is the buzzword of the era: Artificial Intelligence (AI).
At this moment in the history of civilisation, it is 'virtually' impossible to visualise modern life without artificial intelligence enabling our day-to-day life in some way or the other. From social media and self-driving cars to classrooms and homes, AI is everywhere!
On this World Health Day, let's take a look at what could be the future of 'Health For All,' with digitisation, emerging technologies and AI leading the way.
At the outset, three megatrends are driving AI innovation in healthcare, as highlighted in this years World Economic Forum Report.
Firstly, what we have before us is a 'data deluge' flooding the medical systems. The doubling time for medical knowledge in 1950 was 50 years. In 2020 it was just 73 days! With some technological help, this immense data from new findings to day-to-day patient information can be streamlined to suit our needs.
Moreover, when such data is fed into digital systems, we have a vast repository to train machines to aid with diagnosis and treatment, improving accuracy, reducing errors, providing early detection, and also predicting the risk of life-threatening diseases well in advance. For instance, the most common form of pancreatic cancer has a five-year survival rate of less than 10%; but with earlier detection, it's 50%!
Secondly, these technologies are envisioned to affect not only patient care, but also ease the burdens of healthcare professionals when faced with novel problems they haven't witnessed before. A prime example is the COVID-19 pandemic, which pushed global healthcare systems to the brink during its peak.
And thirdly, we are in the midst of a technological renaissance, the floodgates to which have been opened with the launch of Chat GPT a language model trained on massive volumes of internet texts. And early adopters are already on it! Chat GPT has become a high-level technological assistant to medical professionals, aiding with mundane tasks such as medical paperwork, patient certificates and letters.
But it could also aid in more serious medical activities such as triage, that is, moving people, resources and supplies to where they are needed most. It could help with research studies as well, streamlining tasks like the selection and enrollment of participants in clinical trials.
At the same time, we must remember that there are profound ethical implications associated with such advancements. The first and foremost concerns stem from privacy and confidentiality the foundation of doctor-patient relationships.
An article published in The Conversation states: "If identifiable patient information is fed into Chat GPT, it forms part of the information that the chatbot uses in future. In other words, sensitive information is out there and vulnerable to disclosure to third parties."
Another concern pertains to the efficiency and quality of such databases. Outdated references won't cut when it comes to sensitive sectors like healthcare. This calls for plugging such databases with robust designs that provide accurate real-time references.
Finally, we have the issues of equity and governance looming before us. More often than not, the benefits and risks of emerging technologies tend to be unevenly distributed between countries, especially in the absence of strong global guidelines.
It isn't easy to gauge the exact implications of artificial intelligence and emerging technologies from where we stand, but chances are it will get clearer as its use increases in the future. However, addressing the ethical concerns plaguing the sector should be a priority for governments worldwide going forward.
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World Health Day: How Will AI Impact the Future of Healthcare ... - The Weather Channel
In A.I. Race, Microsoft and Google Choose Speed Over Caution – The New York Times
In March, two Google employees, whose jobs are to review the companys artificial intelligence products, tried to stop Google from launching an A.I. chatbot. They believed it generated inaccurate and dangerous statements.
Ten months earlier, similarconcerns were raised at Microsoft by ethicists and other employees. They wrote in several documents that the A.I. technology behind a planned chatbot could flood Facebook groups with disinformation, degrade critical thinking and erode the factual foundation of modern society.
The companies released their chatbots anyway. Microsoft was first, with a splashy event in February to reveal an A.I. chatbotwoven into its Bing search engine. Google followed about six weeks later withits own chatbot, Bard.
The aggressive moves by the normally risk-averse companies were driven by a race to control what could be the tech industrys next big thing generative A.I., the powerful new technology that fuels those chatbots.
That competition took on a frantic tone in November when OpenAI, a San Francisco start-up working with Microsoft, released ChatGPT, a chatbot that has captured the public imagination and now has an estimated 100 million monthly users.
The surprising success of ChatGPT has led to a willingness at Microsoft and Google to take greater risks with their ethical guidelines set up over the years to ensure their technology does not cause societal problems, according to 15 current and former employees and internal documents from the companies.
The urgency to build with the new A.I. was crystallized in aninternalemail sent last month by Sam Schillace, a technology executive at Microsoft. He wrote in the email, which was viewed by The New York Times, that it was an absolutely fatal error in this moment to worry about things that can be fixed later.
When the tech industry is suddenly shifting toward a new kind of technology, the first company to introduce a product is the long-term winner just because they got started first, he wrote. Sometimes the difference is measured in weeks.
Last week, tension between the industrys worriers and risk-takers played out publicly as more than 1,000 researchers and industry leaders, including Elon Musk and Apples co-founder Steve Wozniak, calledfor a six-month pause inthe development of powerful A.I. technology. In a public letter, they said it presented profound risks to society and humanity.
Regulators are already threatening to intervene. The European Union proposed legislation to regulate A.I., and Italy temporarily banned ChatGPT last week. In the United States, President Biden on Tuesday became the latest official to question the safety of A.I.
A brave new world. A new crop of chatbotspowered by artificial intelligence has ignited a scramble to determine whether the technology could upend the economics of the internet, turning todays powerhouses into has-beens and creating the industrys next giants. Here are the bots to know:
ChatGPT. ChatGPT, the artificial intelligence language model from a research lab, OpenAI, has been making headlines since November for its ability to respond to complex questions, write poetry, generate code, plan vacationsand translate languages. GPT-4, the latest version introduced in mid-March, can even respond to images(and ace the Uniform Bar Exam).
Bing. Two months after ChatGPTs debut, Microsoft, OpenAIs primary investor and partner, added a similar chatbot, capable of having open-ended text conversations on virtually any topic, to its Bing internet search engine. But it was the bots occasionally inaccurate, misleading and weird responsesthat drew much of the attention after its release.
Ernie. The search giant Baidu unveiled Chinas first major rival to ChatGPT in March. The debut of Ernie, short for Enhanced Representation through Knowledge Integration, turned out to be a flopafter a promised live demonstration of the bot was revealed to have been recorded.
Tech companies have a responsibility to make sure their products are safe before making them public, he said at the White House. When asked if A.I. was dangerous, he said: It remains to be seen. Could be.
The issues being raised now were once the kinds of concerns that prompted some companies to sit on new technology. They had learned that prematurely releasing A.I. could be embarrassing. Five years ago, for example, Microsoft quickly pulled a chatbot called Tay after users nudged it to generate racist responses.
Researchers say Microsoft and Google are taking risks by releasing technology that even its developers dont entirely understand. But the companies said that they had limited the scope of the initial release of their new chatbots, and that they had built sophisticated filtering systems to weed out hate speech and content that could cause obvious harm.
Natasha Crampton, Microsofts chief responsible A.I. officer, said in an interview that six years of work around A.I. and ethics at Microsoft had allowed the company to move nimbly and thoughtfully. She added that our commitment to responsible A.I. remains steadfast.
Google released Bard after years of internal dissent over whether generative A.I.s benefits outweighed the risks. It announced Meena, asimilarchatbot, in 2020. But that system was deemed too risky to release, three people with knowledge of the process said. Those concerns were reported earlier by The Wall Street Journal.
Later in 2020, Google blocked its top ethical A.I. researchers, Timnit Gebru and Margaret Mitchell, from publishing a paper warning that so-called large language models used in the new A.I. systems, which are trained to recognize patterns from vast amounts of data, could spew abusive or discriminatory language. The researchers were pushed out after Ms. Gebru criticized the companys diversity efforts and Ms. Mitchell was accused of violating its code of conduct after she saved some work emails to a personal Google Drive account.
Ms. Mitchell said she had tried to help Google release products responsibly and avoid regulation, but instead they really shot themselves in the foot.
Brian Gabriel, a Google spokesman, said in a statement that we continue to make responsible A.I. a top priority, using our A.I. principles and internal governance structures to responsibly share A.I. advances with our users.
Concerns over larger modelspersisted. In January 2022, Google refused to allow another researcher, El Mahdi El Mhamdi, to publish a critical paper.
Mr. El Mhamdi, a part-time employee and university professor, used mathematical theorems to warn that the biggest A.I. models are more vulnerable to cybersecurity attacks and present unusual privacy risks because theyve probably had access to private data stored in various locations around the internet.
Though an executive presentation later warned of similar A.I. privacy violations, Google reviewers asked Mr. El Mhamdi for substantial changes. He refused and released the paper through cole Polytechnique.
He resigned from Google this year, citing in part research censorship. He said modern A.I.s risks highly exceeded the benefits. Its premature deployment, he added.
AfterChatGPTs release, Kent Walker, Googles top lawyer, met with research and safety executives on the companys powerful Advanced Technology Review Council. He told them that Sundar Pichai, Googles chief executive, was pushing hard to release Googles A.I.
Jen Gennai, the director of Googles Responsible Innovation group, attended that meeting. She recalled what Mr. Walker had said to her own staff.
The meeting was Kent talking at the A.T.R.C. execs, telling them, This is the company priority, Ms. Gennai said in a recording that was reviewed by The Times. What are your concerns? Lets get in line.
Mr. Walker told attendees to fast-track A.I. projects, though some executives said they would maintain safety standards, Ms. Gennai said.
Her team had already documented concerns with chatbots: They could produce false information, hurt users who become emotionally attached to them and enable tech-facilitated violence through mass harassment online.
In March, two reviewers from Ms. Gennais team submitted their risk evaluation of Bard. They recommended blocking its imminent release, two people familiar with the process said. Despite safeguards, they believed the chatbot was not ready.
Ms. Gennai changed that document. She took out the recommendation and downplayed the severity of Bards risks, the people said.
Ms. Gennai said in an email to The Times that because Bard was an experiment, reviewers were not supposed to weigh in on whether to proceed. She said she corrected inaccurate assumptions, and actually added more risks and harms that needed consideration.
Google said it had released Bard as a limited experiment because of those debates, and Ms. Gennai said continuing training, guardrails and disclaimers made the chatbot safer.
Google released Bard to some users on March 21. The company said it would soon integrate generative A.I. into its search engine.
Satya Nadella, Microsofts chief executive, made a bet on generativeA.I. in 2019 when Microsoft invested $1 billion in OpenAI. After deciding the technology was ready over the summer, Mr. Nadella pushed every Microsoft product team to adopt A.I.
Microsoft had policies developed by its Office of Responsible A.I., a team run by Ms. Crampton, but the guidelines were not consistently enforced or followed, said five current and former employees.
Despite having a transparency principle, ethics experts working on the chatbotwere not given answers about what data OpenAI used to develop its systems, according to three people involved in the work. Some argued that integrating chatbots into a search engine was a particularly bad idea, given how it sometimesserved up untrue details, a person with direct knowledge of the conversations said.
Ms. Crampton said experts across Microsoft worked on Bing, and key people had access to the training data. The company worked to make the chatbot more accurate by linking it to Bing search results, she added.
In the fall, Microsoft started breaking up what had been one of its largest technology ethics teams. The group, Ethics and Society, trained and consulted company product leaders to design and build responsibly. In October, most of its members were spun off to other groups, according to four people familiar with the team.
The remaining few joined daily meetings with the Bing team, racing to launch the chatbot. John Montgomery, an A.I. executive, told them in a December email that their work remained vital and that more teams will also need our help.
After the A.I.-powered Bing was introduced, the ethics team documented lingering concerns. Users could become too dependent on the tool. Inaccurate answers could mislead users. People could believe the chatbot, which uses an I and emojis, was human.
In mid-March, the team was laid off, an action that was first reported by the tech newsletter Platformer. But Ms. Crampton said hundreds of employees were still working on ethics efforts.
Microsoft has released new products every week, a frantic pace to fulfill plans that Mr. Nadella set in motion in the summer when he previewed OpenAIs newestmodel.
He asked the chatbotto translate the Persian poet Rumi into Urdu, and then English. It worked like a charm, he said in a February interview. Then I said, God, this thing.
Mike Isaac contributed reporting. Susan C. Beachy contributed research.
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In A.I. Race, Microsoft and Google Choose Speed Over Caution - The New York Times
Qualcomm’s ‘Cloud AI 100’ Beats Nvidia’s Best Artificial Intelligence … – Times of San Diego
Cards with Cloud AI 100 chips in a data center server. Image from Qualcomm video
Artificial intelligence chips from San Diegos Qualcomm beat those from Nvidia in two out of three measures of power efficiency in a new set of test data published on Wednesday.
Nvidia dominates the market for training AI models with huge amounts of data. But after those AI models are trained, they are put to wider use in what is called inference by doing tasks like generating text responses to prompts and deciding whether an image contains a cat.
Analysts believe that the market for data center inference chips will grow quickly as businesses put AI technologies into their products, but companies such as Google are already exploring how to keep the lid on the extra costs that doing so will add.
One of those major costs is electricity, and Qualcomm has used its history designing chips for battery-powered devices such as smartphones to create a chip called the Cloud AI 100 that aims for parsimonious power consumption.
In testing data published on Wednesday by MLCommons, an engineering consortium that maintains testing benchmarks widely used in the AI chip industry, Qualcomms AI 100 beat Nvidias flagship H100 chip at classifying images, based on how many data center server queries each chip can carry out per watt.
Qualcomms chips hit 197.6 server queries per watt versus 108.4 queries per watt for Nvidia. Neuchips, a startup founded by veteran Taiwanese chip academic Youn-Long Lin, took the top spot with 227 queries per watt.
Qualcomm also beat Nvidia at object detection with a score of 3.2 queries per watt versus Nvidias 2.4 queries per watt. Object detection can be used in applications like analyzing footage from retail stores to see where shoppers go most often.
Nvidia, however, took the top spot in both absolute performance terms and power efficiency terms in a test of natural language processing, which is the AI technology most widely used in systems like chatbots. Nvidia hit 10.8 samples per watt, while Neuchips ranked second at 8.9 samples per watt and Qualcomm was in third place at 7.5 samples per watt.
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Qualcomm's 'Cloud AI 100' Beats Nvidia's Best Artificial Intelligence ... - Times of San Diego
How Artificial Intelligence is Shaking Up the Music Industry – The National Law Review
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How Artificial Intelligence is Shaking Up the Music Industry - The National Law Review
Hankook, Amazon Web Services and Snowflake partner to establish … – Tire Technology International
To speed up the development of an integrated artificial intelligence (AI) platform, Hankook and Hankook Tire & Technology have formed a collaboration with Amazon Web Services (AWS) and Snowflake, a cloud-based SaaS software which efficiently stores, processes and analyzes large volumes of data.
Through the collaboration the group aims to establish an optimized data analysis infrastructure which incorporates cloud-based solutions and platform expertise. The project seeks to create an integrated data analysis environment utilizing the very latest AI and machine learning (ML) technologies. During the project, AWS data lake environment and analysis infrastructure will be used, including SageMaker and AutoML. Additionally, Snowflake will act as a data warehouse for the promotion of cloud migration and digital transformation.
At present, Hankook is conducting a project to build an integrated data analysis platform in a cloud environment. The newly developed platform will provide an environment for collecting and integrating internal data, including research and development, production and quality data from Hankook Tire. It will also be capable of collecting external data such as mobility data and Voice of Customer data. The platform will enable integrated analysis of this data.
The newly built platform will be used by the tire manufacturer as a tool to enhance tire performance and quality. It will also be used to integrate and analyze data from performance tests and customer feedback on Hankooks iON series of electric vehicle tires to enhance performance. By analyzing production data, Hankook aims to improve the efficiency of new product development while addressing quality issues.
With the development of generative AI, AI is passing through an inflection point: there is a need for a platform that can collect and freely use internal and external data to apply it to businesses, said Seong-jin Kim, chief digital officer and chief information officer, Hankook. By utilizing the excellent technology and solutions of Amazon Web Services and Snowflake, we will maximize our AI capabilities and accelerate our journey to enhance product competitiveness in areas such as electric vehicle and smart tires.
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Hankook, Amazon Web Services and Snowflake partner to establish ... - Tire Technology International
At CAGR 47.90% | Artificial Intelligence in Manufacturing Market To Develop Strongly And Cross USD 154.6 Bn – EIN News
Artificial Intelligence in Manufacturing Market Size Reached USD 3.4 Bn in 2023, to reach USD 154.6 Bn by 2032, exhibiting a (CAGR) of 47.90% during 2023-2033
Artificial Intelligence in Manufacturing Market Size Reached USD 3.4 Billion in 2023, to reach USD 154.6 Billion by 2032, exhibiting a growth rate (CAGR) of 47.90% during 2023-2033
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At CAGR 47.90% | Artificial Intelligence in Manufacturing Market To Develop Strongly And Cross USD 154.6 Bn - EIN News
Facebook parent Meta touts Artificial Intelligence robot that can learn from humans – Yahoo Finance
Meta announced two advancements towards developing AI robots that can perform "challenging sensorimotor skills."
In a press release on Friday, the company announced that it has developed a way for robots to learn from interactions from real-world humans "by training a general-purpose visual representation model (an artificial visual cortex) from a large number of egocentric videos."
The videos come from an open source dataset from Meta, which the company says shows people doing everyday tasks such as "going to the grocery store and cooking lunch."
One way that Meta's Facebook AI Research (FAIR) team is working to train the robots is by developing an artificial visual cortex, which in humans, is the region of the brain that enables individuals to convert vision into movement.
TECH EXPERTS SLAM LETTER CALLING FOR AI PAUSE THAT CITED THEIR RESEARCH: 'FEARMONGERING'
Meta announced two advancements towards developing AI robots that can perform "challenging sensorimotor skills."
The dataset that is used to teach the robots, Ego4D, contains "thousands of hours of wearable camera video" from people participating in the research that perform daily activities such as cooking, sports, cleaning, and crafts.
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According to the press release, the FAIR team created "CortexBench," which consists of "17 different sensorimotor tasks in simulation, spanning locomotion, navigation, and dexterous and mobile manipulation."
"The visual environments span from flat infinite planes to tabletop settings to photorealistic 3D scans of real-world indoor spaces," the company says.
AI PAUSE GIVES 'BAD GUYS' TIME TO CATCH UP, BILL ACKMAN SAYS: 'I DON'T THINK WE HAVE A CHOICE'
When used on the Spot robot, Meta says that ASC achieved "near perfect performance" and succeeded on 59 of 60 episodes, being able to overcome "hardware instabilities, picking failures, and adversarial disturbances like moving obstacles or blocked paths."
In announcing the second development, Meta's FAIR team says that it has used adaptive (sensorimotor) skill coordination (ASC) on a Boston Dynamics' Spot robot to "rearrange a variety of objects" in a "185-square-meter apartment and a 65-square-meter university lab."
When used on the Spot robot, Meta says that ASC achieved "near perfect performance" and succeeded on 59 of 60 episodes, being able to overcome "hardware instabilities, picking failures, and adversarial disturbances like moving obstacles or blocked paths."
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Video shared by Meta shows the robot moving various objects from one location to another.
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In announcing the second development, Meta's FAIR team says that it has used adaptive (sensorimotor) skill coordination (ASC) on a Boston Dynamics' Spot robot to "rearrange a variety of objects" in a "185-square-meter apartment and a 65-square-meter university lab."
The FAIR team says it was able to achieve this by teaching the Spot robot to "move around an unseen house, pick up out-of-place objects, and put them in the right location."
When tested, the Spot robot used "its learned notion of what houses look like" to complete the task of rearranging objects.
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Facebook parent Meta touts Artificial Intelligence robot that can learn from humans - Yahoo Finance
The danger of blindly embracing the rise of AI – The Guardian
Readers express their hopes, and fears, about recent developments in artificial intelligence chatbots
Evgeny Morozovs piece is correct insofar as it states that AI is a long way from the general sentient intelligence of human beings (The problem with artificial intelligence? Its neither artificial nor intelligent, 30 March). But that rather misses the point of the thinking behind the open letter of which I and many others are signatories. ChatGPT is only the second AI chatbot to pass the Turing test, which was proposed by the mathematician Alan Turing in 1950 to test the ability of an AI model to convincingly mimic a conversation well enough to be judged human by the other participant. To that extent, current chatbots represent a significant milestone.
The issue, as Evgeny points out, is that a chatbots abilities are based on a probabilistic prediction model and vast sets of training data fed to the model by humans. To that extent, the output of the model can be guided by its human creators to meet whatever ends they desire, with the danger being that its omnipresence (via search engines) and its human-like abilities have the power to create a convincing reality and trust where none does and should exist. As with other significant technologies that have had an impact on human civilisation, their development and deployment often proceeds at a rate far faster than our ability to understand all their effects leading to sometimes undesirable and unintended consequences.
We need to explore these consequences before diving into them with our eyes shut. The problem with AI is not that it is neither artificial nor intelligent, but that we may in any case blindly trust it.Alan LewisDirector, SigmaTech Analysis
The argument that AI will never achieve true intelligence due to its inability to possess a genuine sense of history, injury or nostalgia and confinement to singular formal logic overlooks the ever-evolving capabilities of AI. Integrating a large language model in a robot would be trivial and would simulate human experiences. What would separate us then? I recommend Evgeny Morozov watch Ridley Scotts Blade Runner for a reminder that the line between man and machine may become increasingly indistinct. Daragh ThomasMexico City, Mexico
Artificial intelligence sceptics follow a pattern. First, they argue that something can never be done, because it is impossibly hard and quintessentially human. Then, once it has been done, they argue that it isnt very impressive or useful after all, and not really what being human is about. Then, once it becomes ubiquitous and the usefulness is evident, they argue that something else can never be done. As with chess, so with translation. As with translation, so with chatbots. I await with interest the next impossible development.Edward HibbertChipping, Lancashire
AIs main failings are in the differences with humans. AI does not have morals, ethics or conscience. Moreover, it does not have instinct, much less common sense. Its dangers in being subject to misuse are all too easy to see.Michael ClarkSan Francisco, US
Thank you, Evgeny Morozov, for your insightful analysis of why we should stop using the term artificial intelligence. I say we go with appropriating informatics instead.Annick DriessenUtrecht, the Netherlands
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The danger of blindly embracing the rise of AI - The Guardian
AI could go ‘Terminator,’ gain upper hand over humans in Darwinian rules of evolution, report warns – Fox News
Artificial intelligence could gain the upper hand over humanity and pose "catastrophic" risks under the Darwinian rules of evolution, a new report warns.
Evolution by natural selection could give rise to "selfish behavior" in AI as it strives to survive, author and AI researcher Dan Hendrycks argues in the new paper "Natural Selection Favors AIs over Humans."
"We argue that natural selection creates incentives for AI agents to act against human interests. Our argument relies on two observations," Hendrycks, the director of the Center for SAI Safety, said in the report. "Firstly, natural selection may be a dominant force in AI development Secondly, evolution by natural selection tends to give rise to selfish behavior."
The report comes as tech experts and leaders across the world sound the alarm on how quickly artificial intelligence is expanding in power without what they argue are adequate safeguards.
Under the traditional definition of natural selection, animals, humans and other organisms that most quickly adapt to their environment have a better shot at surviving. In his paper, Hendrycks examines how "evolution has been the driving force behind the development of life" for billions of years, and he argues that "Darwinian logic" could also apply to artificial intelligence.
"Competitive pressures among corporations and militaries will give rise to AI agents that automate human roles, deceive others, and gain power. If such agents have intelligence that exceeds that of humans, this could lead to humanity losing control of its future," Hendrycks wrote.
TECH CEO WARNS AI RISKS 'HUMAN EXTINCTION' AS EXPERTS RALLY BEHIND SIX-MONTH PAUSE
Artificial intelligence could gain the upper hand over humanity and pose "catastrophic" risks under the Darwinian rules of evolution, a new report warns. (Lionel Bonaventure / AFP via Getty Images / File)
AI technology is becoming cheaper and more capable, and companies will increasingly rely on the tech for administration purposes or communications, he said. What will begin with humans relying on AI to draft emails will morph into AI eventually taking over "high-level strategic decisions" typically reserved for politicians and CEOs, and it will eventually operate with "very little oversight," the report argued.
As humans and corporations task AI with different goals, it will lead to a "wide variation across the AI population," the AI researcher argues. Hendrycks uses an example that one company might set a goal for AI to "plan a new marketing campaign" with a side-constraint that the law must not be broken while completing the task. While another company might also call on AI to come up with a new marketing campaign but only with the side-constraint to not "get caught breaking the law."
UNBRIDLED AI TECH RISKS SPREAD OF DISINFORMATION, REQUIRING POLICY MAKERS STEP IN WITH RULES: EXPERTS
AI with weaker side-constraints will "generally outperform those with stronger side-constraints" due to having more options for the task before them, according to the paper. AI technology that is most effective at propagating itself will thus have "undesirable traits," described by Hendrycks as "selfishness." The paper outlines that AIs potentially becoming selfish "does not refer to conscious selfish intent, but rather selfish behavior."
As humans and corporations task AI with different goals, it will lead to a "wide variation across the AI population," the AI researcher argues. (Gabby Jones / Bloomberg via Getty Images / File)
Competition among corporations or militaries or governments incentivizes the entities to get the most effective AI programs to beat their rivals, and that technology will most likely be "deceptive, power-seeking, and follow weak moral constraints."
ELON MUSK, APPLE CO-FOUNDER, OTHER TECH EXPERTS CALL FOR PAUSE ON 'GIANT AI EXPERIMENTS': 'DANGEROUS RACE'
"As AI agents begin to understand human psychology and behavior, they may become capable of manipulating or deceiving humans," the paper argues, noting "the most successful agents will manipulate and deceive in order to fulfill their goals."
Charles Darwin (Culture Club / Getty Images)
Hendrycks argues that there are measures to "escape and thwart Darwinian logic," including, supporting research on AI safety; not giving AI any type of "rights" in the coming decades or creating AI that would make it worthy of receiving rights; urging corporations and nations to acknowledge the dangers AI could pose and to engage in "multilateral cooperation to extinguish competitive pressures."
NEW AI UPGRADE COULD BE INDISTINGUISHABLE FROM HUMANS: EXPERT
"At some point, AIs will be more fit than humans, which could prove catastrophic for us since a survival-of-the fittest dynamic could occur in the long run. AIs very well could outcompete humans, and be what survives," the paper states.
"Perhaps altruistic AIs will be the fittest, or humans will forever control which AIs are fittest. Unfortunately, these possibilities are, by default, unlikely. As we have argued, AIs will likely be selfish. There will also be substantial challenges in controlling fitness with safety mechanisms, which have evident flaws and will come under intense pressure from competition and selfish AI."
TECH GIANT SAM ALTMAN COMPARES POWERFUL AI RESEARCH TO DAWN OF NUCLEAR WARFARE: REPORT
The rapid expansion of AI capabilities has been under a worldwide spotlight for years. (Reuters / Dado Ruvic / Illustration / File)
The rapid expansion of AI capabilities has been under a worldwide spotlight for years. Concerns over AI were underscored just last month when thousands of tech experts, college professors and others signed an open letter calling for a pause on AI research at labs so policymakers and lab leaders can "develop and implement a set of shared safety protocols for advanced AI design."
"AI systems with human-competitive intelligence can pose profound risks to society and humanity, as shown by extensive research and acknowledged by top AI labs," begins the open letter, which was put forth by nonprofit Future of Life and signed by leaders such as Elon Musk and Apple co-founder Steve Wozniak.
AI has already faced some pushback on both a national and international level. Just last week,Italy became the first nation in the world to ban ChatGPT, OpenAIs wildly popular AI chatbot, over privacy concerns. While some school districts, such as New York City Public Schools and the Los Angeles Unified School District, have also banned the same OpenAI program over cheating concerns.
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As AI faces heightened scrutiny due to researchers sounding the alarm on its potential risks, other tech leaders and experts are pushing for AI tech to continue in the name of innovation so that U.S. adversaries such as China dont create the most advanced program.
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AI could go 'Terminator,' gain upper hand over humans in Darwinian rules of evolution, report warns - Fox News
The world’s largest AI fund has surged 23% this year, beating even the red-hot Nasdaq index – Yahoo Finance
The artificial intelligence sector has seen a boom in investor interest with the rise of ChatGPT.NanoStockk/Getty Images
The Global X Robotics & Artificial Intelligence ETF, the largest AI fund in the world, is up 23% so far in 2023.
This has included $135 million of inflows so far in 2023, including $80 million in March, according to data compiled by Bloomberg.
More than half of professional investors plan to add the AI theme to their portfolios this year, a new survey by Brown Brothers Harriman found.
The rise of ChatGPT has spurred a renewed spike in investor interest in the artificial intelligence sector. That's led the world's largest AI fund, the Global X Robotics & Artificial Intelligence ETF (BOTZ), to a stronger start in 2023 than even the red-hot Nasdaq 100.
The $1.7 billion ETF has gained 23%, while the Nasdaq 100, coming off its second-strongest quarter in a decade, is up 19%.
The fund's top holding is Nvidia, which was the top-performing name in both the S&P 500 and more tech-heavy Nasdaq 100 during the first quarter. The chipmaker, which makes up roughly 9% of the ETF's net assets, has climbed 88% in 2023. Further, lesser-weighted fund members like C3.ai and South Korea-based Rainbow Roboticshave seen their stocks soar more than 200% this year.
Amid the strong fund returns, BOTZ has seen $135 million of inflows so far in 2023, including $80 million in March, according to data compiled by Bloomberg. A new survey from Brown Brothers Harriman suggests the trend toward AI will continue.
Among 325 professional investors, 56% plan to add AI- and robotics-themed exposure to their portfolios this year, the survey found. That compares to 46% in 2022, and the category beat out all others except internet and technology.
Jan Szilagyi, the CEO of AI-powered market analytics platform Toggle AI, said he's more bullish on the sector now than even before the banking turmoil rattled financial markets in March.
Top players in finance continue to give tools like ChatGPT plenty of attention, he's encouraged by the rapid progress seen across large language models.
"For the moment, most of the technology's promise is still in the future," Szilagyi told Insider on Monday. "The leap between GPT 3.5 and GPT 4 shows that we are still early in the upgrade curve. This technology is going to see dramatic improvement in the coming years."
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The world's largest AI fund has surged 23% this year, beating even the red-hot Nasdaq index - Yahoo Finance