The Social and Ethical Responsibilities of Computing (SERC) is bringing together social scientists and humanists with engineers, computer scientists, and computing-related faculty for a daylong symposium at MIT to address the challenges and opportunities that have emerged with the broad applicability of computing in many aspects of our society. Join us for a series of panels and sessions featuring a distinguished lineup of speakers. We will also bring the vision and activities of SERC to the forefront by showcasing the work that is already taking place, and highlighting the faculty, postdocs, and students that are advancing SERC-related education and research across disciplines at MIT. Tuesday, April 18, 2023 7:00 am-5:30 pm (registration opens at 7:00 am; program begins at 8:00 am; reception from 4:30-5:30 pm) MIT Building E14, 6th floor (Media Lab) 75 Amherst Street Cambridge, MA 02139 View map Learn more about getting to MIT, building access, and where to park. Algorithms are now impacting every aspect of our lives, whether in the context of social media, online commerce, automated tasks, and now a wider range of interactions with the advent of large language models. There is little doubt that more is to come.

Vivek Astvansh explains how ChatGPT works and believes ChatGPT has the potential to replace human beings whose job is to refer to volumes of information contained on the internet, in textbooks, or in memory, and produce information based on that available content. Astvansh is an Assistant Professor in the Department of Marketing at the Kelley School of Business at Indiana University and an Adjunct Professor of Data Science at the Luddy School of Informatics, Computing, and Engineering at Indiana University. Don't Miss: Valley of Hype: The culture that built Elizabeth Holmes WATCH HERE: About Yahoo Finance: At Yahoo Finance, you get free stock quotes, up-to-date news, portfolio management resources, international market data, social interaction and mortgage rates that help you manage your financial life. Yahoo Finance Plus: With a subscription to Yahoo Finance Plus get the tools you need to invest with confidence. Discover new opportunities with expert research and investment ideas backed by technical and fundamental analysis.

Qing Li is currently a Chair Professor at the Hong Kong Polytechnic University. He also serves/served as a Guest Professor of Zhejiang University, an Adjunct Professor of the University of Science and Technology of China, and a Visiting Professor at the Wuhan University and the Hunan University. His research interests include database modeling, multimedia retrieval and management, social media computing and e-learning systems. Dr. Li has published over 400 papers in technical journals and international conferences in these areas, and is actively involved in the research community by serving as a journal reviewer, program committee chair/co-chair, and as an organizer/co-organizer of numerous international conferences. Currently he is the Chairman of the Hong Kong Web Society, a councillor of the Database Society of Chinese Computer Federation (CCF), a member of the CCF Big Data Experts Committee, and a member of the international WISE Society's steering committee.

Sören Schwertfeger finished his postdoctorate research on autonomous robots in Germany, and seemed set to go to Europe or the United States, where artificial intelligence was pioneered and established. China, which for years watched enviously as the West invented the software and the chips powering today's digital age, has become a major player in artificial intelligence, what some think may be the most important technology of the future. Experts widely believe China is only a step behind the United States. Beijing is backing its artificial intelligence push with vast sums of money.

This week, a video surfaced of a Harvard professor, Steven Pinker, which appeared to show him lauding members of a racist movement. The clip, which was pulled from a November event at Harvard put on by Spiked magazine, showed Mr. Pinker referring to "the often highly literate, highly intelligent people who gravitate to the alt-right" and calling them "internet savvy" and "media savvy." The neo-Nazi Daily Stormer website ran an article headlined, in part, "Harvard Jew Professor Admits the Alt-Right Is Right About Everything." A tweet of the video published by the self-described "Right-Wing Rabble-Rouser" Alex Witoslawski got hundreds of retweets, including one from the white-nationalist leader Richard Spencer. "Steven Pinker has long been a darling of the white supremacist'alt-right,'" noted the lefty journalist Ben Norton.

You've probably heard versions of each of the following ideas. With computers becoming remarkably adept at driving, understanding speech, and other tasks, more jobs could soon be automated than society is prepared to handle. This "superintelligence" will largely make human labor unnecessary. In fact, we'd better hope that machines don't eliminate us altogether, either accidentally or on purpose. Even though the first scenario is already under way, it won't necessarily lead to the second one.

Each day we read about amazing technology breakthroughs, particularly when it comes to artificial intelligence (AI). But if AI is so great, why are these breathtaking technological achievements not matched with soaring productivity and economic growth? Or, to paraphrase an old jibe: If the economy is so smart, why aren't we all rich? After all, we live among astonishing examples of potentially transformative new technologies that could greatly increase productivity and economic welfare. As noted in the 2014 book, "The Second Machine Age," leaps in AI, machine learning and, more recently in areas such as image recognition, abound.

General Issues What is AI all about? In general, I see two possible answers to this question. First, AI can be seen as a modern methodological tool now being used in the ancient enterprise of the study of mind. It also usually means getting a machine to do what previously only humans have done before (rather than simply improving existing techniques). There are really only three reasons to "do" izI From the scientific point of view, you should do 2I because you are interested in the mind From the technological point of view, you should do AI because you The dispute between these formalists, and more intuitive researchers, has been referred to by me (elsewhere) as the neat/scruffy distinction.

To fully appreciate Professor Pearl's book, begin with a careful reading of the title. It is a book about "..Intelligent- ..Strategies.." for the discovery and use of "Heuristics.. " to allow computers to solve ".. Search.. ' ' problems. Search is a critical component in AI programs (Nilsson 1980, Barr and Feigenbaum 1982), and in this sense Pearl's book is a strong contribution to the field of AI. It serves as an excellent reference for the researcher/practitioner and is useful as a textbook as well. As a book about search, it is thorough, at the state of the art, and contains expositions that will delight the expert with their clarity and depth.

But both history and an understanding of human-machine interaction argue otherwise. Any number of forces may work towards the stratification of society, but the computer is not one of them. Computers, especially intelligent ones, are the great equalizers. Humanity has always recognized that the powers of mind are limited, and has always made devices to compensate for those limitations. Our most obvious cognitive limitation is memory, and writing is a device for storing information outside the head so that it does not have to be remembered.