Category Archives: Artificial Intelligence
Longer Looks: The Psychology Of Voting; Overexcited Neurons And Artificial Intelligence; And More – Kaiser Health News
Each week, KHN finds interesting reads from around the Web.
FiveThirtyEight:Does Knowing Whom Others Might Vote For Change Whom Youll Vote For?When a presidential race that was supposed to be won by a mainstream moderate instead ends being captured by a far-right gadfly, you better believe pollsters are gonna get some scrutiny. But when this situation took place in the first round of French elections in 2002, bumping the incumbent prime minister from the final round, it wasnt just the failure of prediction that led to a polling protest. Instead, people were concerned that opinion polling, itself, had caused the outcome. Twenty-four years earlier, France had muzzled opinion polling, banning the publication of poll results for a week before any election out of fear that voters were following the polls, rather than the other way around. (Koerth, 12/5)
Wired:How Overexcited Neurons Might Affect How You AgeA thousand seemingly insignificant things change as an organism ages. Beyond the obvious signs like graying hair and memory problems are myriad shifts both subtler and more consequential: Metabolic processes run less smoothly; neurons respond less swiftly; the replication of DNA grows faultier. But while bodies may seem to just gradually wear out, many researchers believe instead that aging is controlled at the cellular and biochemical level. They find evidence for this in the throng of biological mechanisms that are linked to aging but also conserved across species as distantly related as roundworms and humans. Whole subfields of research have grown up around biologists attempts to understand the relationships among the core genes involved in aging, which seem to connect highly disparate biological functions, like metabolism and perception. (Greenwood, 11/30)
Undark:Unpacking The Black Box In Artificial Intelligence For MedicineIn clinics around the world, a type of artificial intelligence called deep learning is starting to supplement or replace humans in common tasks such as analyzing medical images. Already, at Massachusetts General Hospital in Boston, every one of the 50,000 screening mammograms we do every year is processed through our deep learning model, and that information is provided to the radiologist, says Constance Lehman, chief of the hospitals breast imaging division. In deep learning, a subset of a type of artificial intelligence called machine learning, computer models essentially teach themselves to make predictions from large sets of data. The raw power of the technology has improved dramatically in recent years, and its now used in everything from medical diagnostics to online shopping to autonomous vehicles. (Bender, 12/4)
The New York Times:The Champion Who Picked A Date To DieChampagne flutes were hastily unpacked from boxes, filled to their brims and passed around the room. Dozens of people stood around inside Marieke Vervoorts cramped apartment, unsure of what to say or do. This was a celebration, Vervoort had assured her guests. But it did not feel like one. Eleven years earlier, Vervoort had obtained the paperwork required to undergo doctor-assisted euthanasia. Since her teenage years she had been battling a degenerative muscle disease that stole away the use of her legs, stripped her of her independence, and caused her agonizing, unrelenting pain. The paperwork had returned some sense of control. Under Belgian law, she was free to end her life anytime she chose. (Addario, 12/5)
The Atlantic:Your Morning Routine Doesn't Have To Be PerfectMy mornings are the messiest part of my day. I do not rise and shine. Instead, I hit snooze on the alarm and throw the covers over my head. As I hear the early bus shuffle through my stop outside my window, my mind fills with thoughts from the night before, with to-do lists and deadlines. The alarm goes off again, and I repeat the snooze cycle twice more. By the time I roll out of bed, Im a tangle of anxiety. (Koren, 12/2)
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Artificial Intelligence and National Security, and More from CRS – Secrecy News
The 2019 defense authorization act directed the Secretary of Defense to produce a definition of artificial intelligence (AI) by August 13, 2019 to help guide law and policy. But that was not done.
Thereforeno official U.S. government definition of AI yet exists, the Congressional Research Service observed ina newly updated reporton the subject.
But plenty of other unofficial and sometimes inconsistent definitions do exist. And in any case, CRS noted, AI research is underway in the fields of intelligence collection and analysis, logistics, cyber operations, information operations, command and control, and in a variety of semiautonomous and autonomous vehicles. Already, AI has been incorporated into military operations in Iraq and Syria.
The Central Intelligence Agency alone has around 140 projects in development that leverage AI in some capacity to accomplish tasks such as image recognition and predictive analytics. CRS surveys the field inArtificial Intelligence and National Security, updated November 21, 2019.
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The 2018 financial audit of the Department of Defense, which was the first such audit ever, cost a stunning $413 million to perform. Its findings were assessed by CRS in another new report. SeeDepartment of Defense First Agency-wide Financial Audit (FY2018): Background and Issues for Congress, November 27, 2019.
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The Arctic region is increasingly important as a focus of security, environmental and economic concern. So it is counterintuitive and likely counterproductive that the position of U.S. Special Representative for the Arctichas been left vacant since January 2017. In practice it has beeneffectively eliminatedby the Trump Administration. SeeChanges in the Arctic: Background and Issues for Congress, updated November 27, 2019.
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Other noteworthy new and updated CRS reports include the following (which are also available through the CRS public website atcrsreports.congress.gov).
Resolutions to Censure the President: Procedure and History, updated November 20, 2019
Immigration: Recent Apprehension Trends at the U.S. Southwest Border, November 19, 2019
Air Force B-21 Raider Long Range Strike Bomber, updated November 13, 2019
Precision-Guided Munitions: Background and Issues for Congress, November 6, 2019
Space Weather: An Overview of Policy and Select U.S. Government Roles and Responsibilities, November 20, 2019
Intelligence Community Spending: Trends and Issues, updated November 6, 2019
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Artificial Intelligence and National Security, and More from CRS - Secrecy News
Baidu Leads the Way in Innovation with 5712 Artificial Intelligence Patent Applications – GlobeNewswire
Top 10 AI Patent Applicants in China as of 2019
Source: China Industrial Control Systems Cyber Emergency Response Team Ministry of Industry and Information Technology
Baidu USA, LLC
BEIJING, Dec. 07, 2019 (GLOBE NEWSWIRE) -- Baidu, Inc. (NASDAQ: BIDU) has filed the most AI-related patent applications in China, a recognition of the companys long-term commitment to driving technological advancement, a recent study from the research unit of Chinas Ministry of Industry and Information Technology (MIIT) has shown.
Baidu filed a total of 5,712 AI-related patent applications as of October 2019, ranking No.1 in China for the second consecutive year. Baidus patent applications were followed by Tencent (4,115), Microsoft (3,978), Inspur (3,755), and Huawei (3,656), according to the report issued by the China Industrial Control Systems Cyber Emergency Response Team, a research unit under the MIIT.
Baidu retained the top spot for AI patent applications in China because of our continuous research and investment in developing AI, as well as our strategic focus on patents, said Victor Liang, Vice President and General Counsel of Baidu.
In the future, we will continue to increase our investments into securing AI patents, especially for high-value and high-quality patents, to provide a solid foundation for Baidus AI business and for our development of world-leading technology, he said.
The report showed that Baidu is the patent application leader in several key areas of AI. These include deep learning (1,429), natural language processing (938), and speech recognition (933). Baidu also leads in the highly competitive area of intelligent driving, with 1,237 patent applications, a figure that surpasses leading Chinese universities and research institutions, as well as many international automotive companies. With the launch of the Apollo open source autonomous driving platform and other intelligent driving innovations, Baidu has been committed to pioneering the intelligent transformation of the mobility industry.
After years of research, Baidu has developed a comprehensive AI ecosystem and is now at the forefront of the global AI industry. Moving forward, Baidu will continue to conduct research in the core areas of AI, contribute to scientific and technological innovation in China, and actively push forward the application of AI into more vertical industries. Baidu is positioned to be a global leader in a wave of innovation that will transform industries.
About BaiduBaidu, Inc. is the leading Chinese language Internet search provider. Baidu aims to make the complicated world simpler for users and enterprises through technology. Baidus ADSs trade on the NASDAQ Global Select Market under the symbol BIDU. Currently, ten ADSs represent one Class A ordinary share.
Media ContactIntlcomm@baidu.com
A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/300812be-c1a6-44c4-af8c-fbc0a0613019
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Pondering the Ethics of Artificial Intelligence in Health Care Kansas City Experts Team Up on Emerging – Flatland
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Published December 4th, 2019 at 9:59 AM
Artificial Intelligence (AI) the ability of machines to make decisions that normally require human expertise already is changing our world in countless ways, from self-driving cars to facial-recognition technology.
But the best and maybe the worst is yet to come.
AI is being used increasingly in health care, including the possibility of a radiology tool that might eliminate the need for tissue samples. Knowing that, the people leading a new project called Ethical-AI for the Center for Practical Bioethics (CPB) are trying to make sure that AI health care tools will be created and used in ethical ways.
The ethical questions the project is raising should have been considered in a systematic way years ago, of course. But the good news is that the recommendations produced by this effort may be able to prevent misconstruction or misuse of AI health care tools.
Weve been excited about technology since we landed on the moon, says Lindsey Jarrett, a researcher for Cerner Corp., a Kansas City-based global health care technology company. That has put us into a fast pace that I dont think we were prepared for. Now were looking and saying, OK, wait, hold on. Maybe we should re-evaluate this.
Jarrett is working with Matthew Pjecha, a (CPB) program associate, to produce a series of ethical guidelines for how AI should and shouldnt be used in health care.
When were talking about (AI in) health care, the stakes get really high really fast, Pjecha says. What were hoping comes from this project is a robust set of recommendations (about ethics) for people who are designing, implementing and using AI in health care.
Pjecha, Jarrett and CPB leaders, such as CPB President John G. Carney, worry that if AI tools are created without first thinking about ethical issues, the results can be disastrous for lots of people.
In 2018, for instance, Pjecha gave a presentation at a symposium, attended by Jarrett, in which he looked at an AI instrument used in Arkansas to allocate Medicaid benefits. Because that AI tool was flawed by a failure to include data from a broad segment of the population, it deployed an algorithm that threw many eligible Medicaid recipients off the program, resulting in severe problems.
Pjecha and Jarrett later decided to work together under the CPB umbrella to make sure future AI health care tools were designed properly and ethically.
Once an AI tool has been created, Pjecha says, if you get outcomes from them that youre not sure about or uncomfortable with its not easy to go back and find out why you got those. So its vital to make sure that the data that goes into creating AI tools is reliable and not biased in some way.
What we have learned, Pjecha says, is that AI will express the biases that their creators have.
One way in which technology is affecting health care is through the growing use of wearable activity monitors, which track our daily movements and bodily reactions.
But, says Jarrett, If someone is making really big clinical decisions based on the watch that youre wearing every day, there are lots of times when that device doesnt catch everything you need to know.
Pjecha adds: I could wear a Fitbit every day of my life and I dont think a picture of my life would really be captured in it. But those are the numbers. And we have a kind of fascination with the role that numbers play in the provision of health care.
Without broadly accepted ethical guidelines for AIs creation and use in health care, Pjecha says, 10 years down the roadwe would find ourselves with a health care system that is less relatable and less compassionate and less human. We know that AI systems are quickly going to start outpacing human physicians in certain types of tasks. A good example is recognizing anomalies in imaging.
AI tools, for instance, already can find imaging irregularities at the pixel level, which human eyes cant see. We need to figure out what it means when providers deploy a certain tool that is better qualified to make a type of call than they are, Pjecha says. Im really interested in what happens when one of these systems hypothetically makes a certain determination and a human physician disagrees with it. What kind of trust are we placing in these tools? A lot of these questions are just open.
And, adds Jarrett, another worry is that big companies are entering the health care space of the economy without knowing much about health care, such as Amazon and Google. That may add to the lack of ethical considerations required to make sure AI tools are fair.
So once again, we risk science and technology moving more quickly than our human capacity to understand and control them.
CPB and Cerner both are funding this project, though CPB continues to seek additional investments to support it.
Bill Tammeus, a Presbyterian elder and former award-winning Faith columnist forThe Kansas City Star, writes the daily Faith Matters blog forThe Starswebsite and columns forThe Presbyterian Outlook and formerly for The National Catholic Reporter. His latest book isThe Value of Doubt: Why Unanswered Questions, Not Unquestioned Answers, Build Faith. Email him atwtammeus@gmail.com.
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Artificial intelligence-based fitness is promising but may not be for everyone – Livemint
Sarmishta Neogy, a fitness enthusiast from Delhi, uses the HealthifyMe app to log and track her calorie intake. Neogy recently upgraded from the companys free service to a paid tier, which gives her access to an artificial intelligence (AI)-based assistant called Ria.
However, Neogy says she still uses the app mostly for their recipes, tips and to document food. She found the AIs tips generic and not very helpful. The Ria service is very basic, so I dont know if I will benefit from it. For instance, if you ask Ria what is missing from my diet, it will tell you what is missing but nothing more," she added.
While HealthifyMe is not a new service, the company has been pushing the new AI assistant to its users. HealthifyMe isnt the only service to do that either. Apps such as Aaptiv and FitnessAI are also using artificial intelligence for various aspects of health training and fitness.
But algorithm-based workout and fitness plans may not work for everyone, according to both experts and users. Like HealthifyMe, the idea here is to utilize data acquired from users and experts experience to build an algorithm that can be easily accessible.
Theres no one-size-fits-all," said Ishi Khosla, practising nutritionist and author of Eating At Work. Khosla is behind Theweightmonitor.com, an algorithm-based service that utilizes her first-hand experience as a nutritionist, besides users data. One cannot oversimplify and say this is the only way to go. But they certainly create awareness and a certain sense of mindfulness."
Khosla said algorithms alone arent the answer, but a combination of algorithms and human support can be useful. She pointed out that people might need customized guidance, based on their specific needs and requirements. She likened the algorithms to clothing sizes. There are predefined sizes in the market, but some still need customized clothing for themselves.
Dr. Deep Goel, senior consultant and director of bariatric and advance laparoscopy surgery, BLK Super Speciality Hospital, agreed. Apps and algorithms are like alarm systems, he said, adding that just like alarms help you wake up, these algorithms and apps are like reminding diaries".
When it comes to nutrition and fitness, generic information doesnt benefit everyone. Khoslas WeightMonitor allows users to call nutritionists when they need real-time advice on what they should eat.
Doctors like Goel believe while it is possible to tailor nutrition charts based on peoples data, its not necessarily accurate. Goel said a lot of data is required to diagnose and decide what kind of diet a person should follow. This data may not be available at the moment, since most apps have just taken the algorithmic route.
Therefore, users should use these algorithms and apps as informational tools, rather than things they are completely dependent on.
How do you check whether the recommendations are correct?" asked Dr Bharat Agarwal, consultant of internal medicine, Apollo Hospitals, Navi Mumbai.
The outreach for making algorithmic services will be much larger, Agarwal said.
Correlating all the user data, and coming up with plans and recommendations that actually benefit a user, will take longer. Agarwal said the apps can be useful for those who dont have any medical conditions, but for those who do, a professional is always recommended.
Experts expect that it will take at least a couple of years for algorithmic services to be truly dependable. There is no way to quantify how much efficiency a consumer is deriving from them at the moment and. given that most are paid services, its important to know exactly what you are paying for.
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Artificial intelligence-based fitness is promising but may not be for everyone - Livemint
BioSig Technologies Announces New Collaboration on Development of Artificial Intelligence Solutions in Healthcare – GlobeNewswire
Westport, CT, Dec. 03, 2019 (GLOBE NEWSWIRE) --
The Company partners with Reified Capital, a provider of advanced artificial intelligence-focused technical advisory services to the private sector
Collaboration to focus on machine learning and artificial intelligence solutions for healthcare
Initial solutions to be centered on BioSigs core competencies in electrophysiology
BioSig Technologies, Inc. (NASDAQ: BSGM) (BioSig or the Company), a medical technology company developing a proprietary biomedical signal processing platform designed to improve signal fidelity and uncover the full range of ECG and intra-cardiac signals, today announced that the Company entered into a technical collaboration with Reified Capital, a provider of advanced artificial intelligence-focused technical advisory services to the private sector. Reified was co-founded by Dr. Alexander D. Wissner-Gross and Timothy M. Sullivan, the founders of Gemedy.
The new collaboration with Cambridge, Massachusetts-based Reified will focus on developing a foundational artificial intelligence platform on the basis of integrated healthcare datasets, beginning with ECG and EEG data acquired by BioSigs first product, PURE EP(tm) System - a novel real-time signal processing platform engineered to provide electrophysiologists with high fidelity cardiac signals. Electrophysiology focused technological solutions developed under the terms of this collaboration will be integrated into the PURE EP(tm) technology platform. Reified is led by Harvard- and MIT-trained computer scientist and physicist Dr. Wissner-Gross, an award-winning computer scientist, physicist, entrepreneur and author. Technical expertise that the Reified team is planning to bring to the project includes data analysis, algorithmic modeling and development.
Integration of AI can open new avenues for improved diagnosis and more effective therapy delivery for bioelectronic medicine in particular and healthcare in general. We are thrilled to partner with Alex and his outstanding team, and look forward to working with them on developing world-class artificial intelligence and machine learning solutions, which, we believe, will benefit a worldwide physician audience, commented Kenneth L Londoner, Chairman and CEO of BioSig Technologies, Inc.
The application of modern AI and machine learning techniques to electrophysiology presents one of the most promising healthcare opportunities of our time, said Dr. Wissner-Gross. We look forward to our forthcoming collaboration with BioSig Technologies.
On November 21, 2019 the Company announced that it commenced patient enrollment in its first clinical trial for the PURE EP(tm) System.
About Reified CapitalReified Capital, LLC is a provider of advanced artificial intelligence-focused technical advisory services to the private sector. Reifieds areas of expertise include machine learning, data analysis, modeling and simulation, cybersecurity, knowledge management, cyber-physical systems, and autonomous systems.
About BioSig TechnologiesBioSig Technologies is a medical technology company developing a proprietary biomedical signal processing platform designed to improve the electrophysiology (EP) marketplace (www.biosig.com). Led by a proven management team and a veteran Board of Directors, BioSig Technologies is preparing to commercialize its PURE EP(tm) System. The technology has been developed to address an unmet need in a large and growing market.The Companys first product, PURE EP(tm) System is a computerized system intended for acquiring, digitizing, amplifying, filtering, measuring and calculating, displaying, recording and storing of electrocardiographic and intracardiac signals for patients undergoing electrophysiology (EP) procedures in an EP laboratory. The system is indicated for use under the supervision of licensed healthcare practitioners who are responsible for interpreting the data. This novel cardiac signal acquisition and display system is engineered to assist electrophysiologists in clinical decision-making during electrophysiology procedures in patients with abnormal heart rates and rhythms. BioSigs ultimate goal is to deliver technology to improve upon catheter ablation treatments for the prevalent and potentially deadly arrhythmias, Atrial Fibrillation and Ventricular Tachycardia. BioSig has partnered with Minnetronix on technology development and received FDA 510(k) clearance for the PURE EP(tm) System in August 2018.
Forward-looking Statements This press release contains forward-looking statements. Such statements may be preceded by the words intends, may, will, plans, expects, anticipates, projects, predicts, estimates, aims, believes, hopes, potential or similar words. Forward- looking statements are not guarantees of future performance, are based on certain assumptions and are subject to various known and unknown risks and uncertainties, many of which are beyond the Companys control, and cannot be predicted or quantified and consequently, actual results may differ materially from those expressed or implied by such forward-looking statements. Such risks and uncertainties include, without limitation, risks and uncertainties associated with (i) our inability to manufacture our products and product candidates on a commercial scale on our own, or in collaboration with third parties; (ii) difficulties in obtaining financing on commercially reasonable terms; (iii) changes in the size and nature of our competition; (iv) loss of one or more key executives or scientists; and (v) difficulties in securing regulatory approval to market our products and product candidates. More detailed information about the Company and the risk factors that may affect the realization of forward-looking statements is set forth in the Companys filings with the Securities and Exchange Commission (SEC), including the Companys Annual Report on Form 10-K and its Quarterly Reports on Form 10-Q. Investors and security holders are urged to read these documents free of charge on the SECs website at http://www.sec.gov. The Company assumes no obligation to publicly update or revise its forward-looking statements as a result of new information, future events or otherwise.
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Should the EU embrace artificial intelligence, or fear it? – EURACTIV
As Ursula von der Leyen took office as the new President of the European Commission this week, she said her administration will prioritise two issues above all: guiding Europe through the energy transition in response to climate change, and guiding it through the digital transition in response to new technologies.
On the latter, she has her work cut out. Digitalisation is making things possible that were unthinkable even a generation ago, she told the European Parliament ahead of her approval last week.
To grasp the opportunities and to address the dangers that are out there, we must be able to strike a smart balance where the market cannot. We must protect our European wellbeing and our European values.In the digital age, we must continue on our European path.
Many MEPs understand that the European path wants to be in contrast to that of America, which has had a light-touch approach to regulating the internet and digital technology. Brussels has stepped into that regulatory vacuum with laws and standards such as the General Data Protection Regulation that are now affecting the whole world.
At a EURACTIV event on Friday in Brussels, experts were divided over how aggressive von der Leyen should be in regulating artificial intelligence and data usage in order to protect European citizens.
We need to be careful when we set the regulation so it doesnt stifle innovation, said Kristof Terryn, group chief operating officer at Zurich Insurance. The insurance industry is becoming heavily involved in artificial intelligence, where it is using algorithms in many areas, including loss prediction and claims handling.
This innovation could be stifled if EU regulation becomes too onerous. We keep talking about the risks of AI, but there are massive benefits as well, he said. As an example, he pointed to new technology in Japan which can automatically and immediately compensate people affected by an earthquake.
The EU should be careful that it only regulates the applications of AI that are deemed risky, not all of it, he said.
Eline Chivot, a senior policy analyst at the Centre for Data Innovation, agreed. There are worrying signals that the EU is falling behind the US and China in technology development only 20% of European SMEs demonstrate digital intensity, she said. Ethical discussions shouldnt sidetrack us from the competitiveness discussion.
But Jennifer Baker, a digital rights activist and EU privacy policy correspondent for IAPP, said for her, civil rights and data protection are far more important than companies profits.
She said there are major questions not being tackled, which are already affecting citizens without their knowledge, such as who owns the data and how AI systems process it, and how bias and discrimination are being embedded into these systems.
We dont even know how many of these things are already out there because theres been a rush to make profits, she noted.
Wojciech Wiewiorowski, the acting European Data Protection Supervisor, said that his office is taking data protection very seriously and that it will be essential that the EU defines exactly what AI is and which types of applications could cause harm.
Transparency is important, he said. If you include bias, we need to know that the system operates that way.
The bias is being built in by humans, said Baker. The best way to combat bias is to eliminate bias from society, she said. Right now we have the chance to tackle the bias before its hardwired into AI.
There have already been reports of AI systems used in policing showing bias against minorities. Questions have arisen about situations where a self-driving car heading for a crash needs to choose which car, biker, or pedestrian, it should swerve into a situation where bias might dictate it hits an older person instead of a younger person.
The reason were talking about bias is because it reflects our own bias as human beings, and thats difficult to accept, said Chivot. But sometimes bias is a good thing. She cited as an example when AI might be used to select vulnerable populations for a medical study or disease treatment.
Some on the panel felt that the EUs efforts to deal with AI specifically so far for instance, a high-level groups guidelines published earlier this year have been underwhelming. Theres not a lot to disagree with there, they say they dont want bias and want human beings at the centre, said Baker.
When you flip these statements on their head, its utterly ridiculous. We want bias? We dont want humans at the centre?
Wiewiorowski said he liked the document but agreed it can be difficult to precisely define what ethics are. I dont know the definition of ethics but I think we can all agree that there is something we can call general ethics.
As Ursula von der Leyen begins her term, technology industry stakeholders are going to be closely watching the Commission to see which direction it will go in regulating these developing technologies and usage of data. But if her speech to the European Parliament last week is anything to go by, it appears she is not afraid to plough through with regulation.
For us, the protection of a persons digital identity is the overriding priority, she told MEPs. We have to have stringent security requirements and a unified European approach.
[Edited by Zoran Radosavljevic and Samuel Stolton]
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Should the EU embrace artificial intelligence, or fear it? - EURACTIV
The impact of artificial intelligence on humans – Bangkok Post
Will the machines take control? Not if we focus on developing the skills that AI cannot replicate
From Siri, the virtual assistant in Apple mobile devices, to self-driving cars, artificial intelligence (AI) is progressing rapidly, outperforming humans at some tasks. As with the majority of the changes happening globally, there will be positive and negative impacts as AI continues to shape the world we live in. Every single one of us will have to reckon with our ability to balance the human way of life and the transition to the AI cosmos.
According to a report by the technology research group IDC, spending on AI is expected to reach US$46 billion by 2020 with no signs of slowing down. AI is definitely on the rise in both business and life in general. The question is, will humans eventually lose control as machines become super-intelligent? Unforeseen consequences are likely whenever a new technology is introduced, and AI is no exception.
It is obvious that AI is a disruptive technology, revolutionising businesses and bringing new approaches to decision-making based on measurable outcomes. It can enhance efficiency and production volume, while cultivating new opportunities for revenue to flourish.
We have to face the fact that humans arent always the best at tedious and repetitive tasks, whereas machines dont get tired or complain. This is where AI is starting to play an important role: freeing humans from drudgery so that we can focus on interpersonal relations and more creative work.
Is it true that robots and AI will destroy jobs? That is something we hear quite often. Everyone has their own opinions about the pluses and minuses of the technology. However, if you think about it in a positive way, AI is actually encouraging evolution in the job market, as candidates come to realise they need to develop new types of skills in order to secure fulfilling work amid rapid technological advancements.
The truth is, people will still work, but they will work better with the assistance of AI. In other words, the unparalleled duo of human and machines coming together will soon turn into the new normal in the workforce. Already there are many routine white-collar tasks such as answering emails, data entry and related responsibilities that can be handled by intelligent assistants if businesses are prepared to recognise the potential.
Away from the office, we can see that more and more people are living in smart homes or equipping their residences with hardware and software that can reduce energy usage and provide better security, among other benefits. AI is also having a profound impact on healthcare, leading to improved diagnosis and treatment of many conditions, leading to healthier citizens and healthier economies.
The ability of technology to answer more questions, solve more problems and innovate in previously unimaginable ways goes beyond the capacity of the human brain for better or worse, depending on how one perceives this subject. The elevation of technology will allow individuals to focus on higher functions, with improved quality living standards.
Challenges will continue to come and go, but the biggest one will be for humans to find their place in this new world, by staking a claim to all the activities that call for their unique human abilities.
A study by PwC forecast that 7 million existing jobs will be replaced by AI in the UK from 2017 to 2037. However, 7.2 million new jobs could be created as well. Yes, many humans are wondering whether they will be part of the 7 million or part of the 7.2 million. Living with this uncertainty is a struggle for many given the transformative impact of AI on our society and the economic, political, legal and regulatory implications that need to be prepared for.
At its core, AI is about imitating human thought processes. Human beings essentially have to teach AI the how-to of practically everything, but AI cannot be taught how to be empathic, something only humans can do. It is one thing to allow machines to predict and help solve problems; it is another to purposely make them control the ways in which people will be made redundant.
Therefore, it is vital for us to be more sceptical of AI and recognise its shortcomings together with its potential. By focusing more on training people in soft skills, starting in school, we can help produce a greater number of employable humans who will be able to work alongside machines to deliver the best of both worlds.
Arinya Talerngsri is Chief Capability Officer and Managing Director at SEAC - Southeast Asias Lifelong Learning Center. She can be reached by email at arinya_t@seasiacenter.com or https://www.linkedin.com/in/arinya-talerngsri-53b81aa. Explore and experience our lifelong learning ecosystem today at https://www.yournextu.com
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The impact of artificial intelligence on humans - Bangkok Post
AI IN BANKING: Artificial intelligence could be a near $450 billion opportunity for banks – here are the strat – Business Insider India
Discussions, articles, and reports about the AI opportunity across the financial services industry continue to proliferate amid considerable hype around the technology, and for good reason: The aggregate potential cost savings for banks from AI applications is estimated at $447 billion by 2023, with the front and middle office accounting for $416 billion of that total, per Autonomous Next research seen by Business Insider Intelligence.
Most banks (80%) are highly aware of the potential benefits presented by AI, per an OpenText survey of financial services professionals. In fact, many banks are planning to deploy solutions enabled by AI: 75% of respondents at banks with over $100 billion in assets say they're currently implementing AI strategies, compared with 46% at banks with less than $100 billion in assets, per a UBS Evidence Lab report seen by Business Insider Intelligence. Certain AI use cases have already gained prominence across banks' operations, with chatbots in the front office and anti-payments fraud in the middle office the most mature.
The companies mentioned in this report are: Capital One, Citi, HSBC, JPMorgan Chase, Personetics, Quantexa, and U.S. Bank
Here are some of the key takeaways from the report:
In full, the report:
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Artificial Intelligence in 2020: The Architecture and the Infrastructure – Gigaom
Featured SpeakersJed DoughertyGlobal VP of Field Engineering, DataikuRegister
Machine Learning and AI were hot in 2019, but whats next for AI in 2020? The software side of working with AI improved a lot this year. But the hardware infrastructure side is still pretty complex, and for those who want to take advantage of GPU technology, that goes double. The truth is that AI hardware, both for fast training and effective inferencing, can be expensive, and its obsolescence cycles are quick. Thats a blocker.
But the cloud, container technology and smart software to orchestrate it all can help. Intelligent auto-scaling can help as well. Economically efficient management of specialized hardware and multi-cloud container computing strategies are the next frontier in AI. Theyre also key to AIs continued journey to the mainstream.
To learn more, join us for this free 1-hour webinar from GigaOm Research. The webinar features GigaOm analyst Andrew Brust with Jed Dougherty, Global VP of Field Engineering at Dataiku, an enterprise AI and machine learning platform.
In this 1-hour webinar, you will discover:
Register now to join GigaOm and Dataiku for this free expert webinar.
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Artificial Intelligence in 2020: The Architecture and the Infrastructure - Gigaom