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These are the AI risks we should be focusing on

#artificialintelligence

Since the dawn of the computer age, humans have viewed the approach of artificial intelligence (AI) with some degree of apprehension. Popular AI depictions often involve killer robots or all-knowing, all-seeing systems bent on destroying the human race. These sentiments have similarly pervaded the news media, which tends to greet breakthroughs in AI with more alarm or hype than measured analysis. In reality, the true concern should be whether these overly-dramatized, dystopian visions pull our attention away from the more nuanced -- yet equally dangerous -- risks posed by the misuse of AI applications that are already available or being developed today. AI permeates our everyday lives, influencing which media we consume, what we buy, where and how we work, and more. AI technologies are sure to continue disrupting our world, from automating routine office tasks to solving urgent challenges like climate change and hunger.


The AI Index 2021 Annual Report

arXiv.org Artificial Intelligence

Welcome to the fourth edition of the AI Index Report. This year we significantly expanded the amount of data available in the report, worked with a broader set of external organizations to calibrate our data, and deepened our connections with the Stanford Institute for Human-Centered Artificial Intelligence (HAI). The AI Index Report tracks, collates, distills, and visualizes data related to artificial intelligence. Its mission is to provide unbiased, rigorously vetted, and globally sourced data for policymakers, researchers, executives, journalists, and the general public to develop intuitions about the complex field of AI. The report aims to be the most credible and authoritative source for data and insights about AI in the world.


GPT-3 Creative Fiction

#artificialintelligence

What if I told a story here, how would that story start?" Thus, the summarization prompt: "My second grader asked me what this passage means: …" When a given prompt isn't working and GPT-3 keeps pivoting into other modes of completion, that may mean that one hasn't constrained it enough by imitating a correct output, and one needs to go further; writing the first few words or sentence of the target output may be necessary.


Europe and AI: Leading, Lagging Behind, or Carving Its Own Way?

#artificialintelligence

For its AI ecosystem to thrive, Europe needs to find a way to protect its research base, encourage governments to be early adopters, foster its startup ecosystem, expand international links, and develop AI technologies as well as leverage their use efficiently.


The 2018 Survey: AI and the Future of Humans

#artificialintelligence

"Please think forward to the year 2030. Analysts expect that people will become even more dependent on networked artificial intelligence (AI) in complex digital systems. Some say we will continue on the historic arc of augmenting our lives with mostly positive results as we widely implement these networked tools. Some say our increasing dependence on these AI and related systems is likely to lead to widespread difficulties. Our question: By 2030, do you think it is most likely that advancing AI and related technology systems will enhance human capacities and empower them? That is, most of the time, will most people be better off than they are today? Or is it most likely that advancing AI and related technology systems will lessen human autonomy and agency to such an extent that most people will not be better off than the way things are today? Please explain why you chose the answer you did and sketch out a vision of how the human-machine/AI collaboration will function in 2030.


A 20-Year Community Roadmap for Artificial Intelligence Research in the US

arXiv.org Artificial Intelligence

Decades of research in artificial intelligence (AI) have produced formidable technologies that are providing immense benefit to industry, government, and society. AI systems can now translate across multiple languages, identify objects in images and video, streamline manufacturing processes, and control cars. The deployment of AI systems has not only created a trillion-dollar industry that is projected to quadruple in three years, but has also exposed the need to make AI systems fair, explainable, trustworthy, and secure. Future AI systems will rightfully be expected to reason effectively about the world in which they (and people) operate, handling complex tasks and responsibilities effectively and ethically, engaging in meaningful communication, and improving their awareness through experience. Achieving the full potential of AI technologies poses research challenges that require a radical transformation of the AI research enterprise, facilitated by significant and sustained investment. These are the major recommendations of a recent community effort coordinated by the Computing Community Consortium and the Association for the Advancement of Artificial Intelligence to formulate a Roadmap for AI research and development over the next two decades.



ADP Uses Machine Learning and Artificial Intelligence to Drive a Data-Fueled Future of Work

#artificialintelligence

ADP uses real, empirical, anonymized data from more than 30 million employees to anticipate how human work behaviors will evolve, and the impact that macro trends will have on the way people want and need to work. This year's Datathon focused on unearthing new ways to use the company's data and encouraging technologists across the company to incorporate data into all practices. "Our first Datathon was about testing the speed and process by which we can leverage our world-leading HCM database, which compiles proprietary data from over 90,000 clients," said Marc Rind, chief data scientist at ADP. "This time around, we brought in partners from across ADP to explore their needs and ideate on comprehensive solutions. We gathered the industry's greatest innovators for two weeks of end-to-end development, and will ultimately be able to deliver unmatched value to our clients as a result." Three teams conceived solutions that used machine learning and artificial intelligence to bring ADP data to life for how the future of work will evolve in three key areas, and outputs included the following.


Tech Leaders Are Just Now Getting Serious About AI Ethics

#artificialintelligence

A kind of ethics fever has taken hold of the AI community. As smart machines displace human jobs and seem poised to make life-or-death decisions in self-driving cars and health care, concerns about where AI is taking us are gaining increasing urgency. Earlier this month, the MIT Media Lab joined with the Harvard Berkman Klein Center for Internet & Society to anchor a $27 million Ethics and Governance of Artificial Intelligence initiative. The fund joins a growing array of AI ethics initiatives crisscrossing the corporate world and academia. In July 2016, leading AI researchers discussed the technologies' social and economic implications at the AI Now symposium in New York City.