Artificial intelligence is already inextricably woven into everyday life, and its impact will only grow in the coming years. But while this development inspires much discussion among members of the scientific community, public opinion on artificial intelligence has remained relatively unknown. Artificial Intelligence: American Attitudes and Trends, a report published earlier in January by the Center for the Governance of AI, explores this question. Its authors relied on an in-depth survey to analyze American attitudes towards artificial intelligence, from privacy concerns to beliefs about U.S. technological superiority. Some of their findings--most Americans, for example, don't trust Facebook--were unsurprising. But much of their data reflects trends within the American public that have previously gone unnoticed. This month Ariel was joined by Baobao Zhang, lead author of the report, to talk about these findings. Zhang is a PhD candidate in Yale University's political science department and research affiliate with the Center for the Governance of AI at the University of Oxford. Her work focuses on American politics, international relations, and experimental methods. In this episode, Zhang spoke about her take on some of the report's most interesting findings, the new questions it raised, and future research directions for her team.

For more than a century, factories and warehouses have depended on forklifts to move heavy objects from one place to another. Roboticist Melonee Wise, founder and chief executive of Fetch Robotics, thinks fully autonomous robots could do a better job. In a conversation with Forbes, she shared a sneak peek of a new version of her giant Freight bots that has the ability to pick up items from one place and drop them off at another with no humans involved. Fetch intends to debut the new Freight 500, called CartConnect500, which can lug up to 500 kilograms (or 1,100 pounds) at the Modex 2020 trade show in Atlanta on March 9. A fully autonomous version of the Freight 1,500, which can haul up to 1,500 kilograms (or 3,300 pounds), is in development and likely will launch later this year.

The internationally renowned Dan David Prize, headquartered at Tel Aviv University, annually awards three prizes of $1 million each to globally inspiring individuals and organizations. The total purse of $3 million makes the prize not only one of the most prestigious, but also one of the highest-value prizes internationally. Laureates are selected on the basis of their outstanding achievements and contributions in the year's chosen fields, each representing a time category. This year's fields are Cultural Preservation and Revival (Past category), Gender Equality (Present category) and Artificial Intelligence (Future category). Professor Amnon Shashua, co-founder and CEO of Mobileye, and Dr. Demis Hassabis, co-founder and CEO of DeepMind, have been named the 2020 Dan David Prize laureates in the field of artificial intelligence (AI).

Today's leading minds talk AI with host Byron Reese On Episode 108 of Voices in AI, Byron and Kirk Borne discuss the intersection between human nature and artificial intelligence. Listen to this episode or read the full transcript at www.VoicesinAI.com Byron Reese: This is Voices in AI brought to you by GigaOm, and I'm Byron Reese. Today my guest is Kirk Borne. He is Principal Data Scientist and executive advisor at Booz Allen Hamilton.

In the previous project, we talked about implementing Lane Line Detection and we observed there are some limitations in adverse light conditions. Also, we know that the algorithm does not work correctly when the road would turn left or right. In this project, we are going to eliminate those restrictions by using new algorithms. So let's talk about some essential concepts and instruments. At first, for making our implementation more realistic, let's talk about a technique which is called Camera Calibration.

Josh Swamidass is the Washington University computational biologist and intelligent design critic who debated with biochemist Michael Behe last week at Texas A&M. Their exchange is now up on YouTube. Jonathan Witt reported on the contents here. Dr. Swamidass then headed to Seattle where he spoke last night at the University of Washington on "Human Identity and the Meaning of Artificial Intelligence: A Conversation with a Secular Humanist and a Scientist Christian." It was good to see Josh in the flesh.

So I think that those three areas that separates us from far from the crowd. The first one is about a model of safety. We are we published a paper two years ago about how to formalize a common sense of human driving how to define what a dangerous situation is in the context of decision making on merging into traffic . And since then we have been working with regulatory bodies to standardize this model . We are the only company that is really transparent about its safety safety model.

He also explains where he draws inspiration from in his research, and why robotics has yet to meet science fiction. Vijay Kumar is the Nemirovsky Family Dean of Penn Engineering with appointments in the Departments of Mechanical Engineering and Applied Mechanics, Computer and Information Science, and Electrical and Systems Engineering at the University of Pennsylvania. Kumar's group works on creating autonomous ground and aerial robots, designing bio-inspired algorithms for collective behaviors, and on robot swarms. They have won many best paper awards at conferences, and group alumni are leaders in teaching, research, business and entrepreneurship. Kumar is a fellow of ASME and IEEE and a member of the National Academy of Engineering.

Stuart Russell is a distinguished artificial intelligence researcher, a Professor of Computer Science at the University of California, Berkeley, an Adjunct Professor of Neurological Surgery at the University of California, San Francisco, and leads the Center for Human-Compatible Artificial Intelligence at UC Berkeley. Along with Peter Norvig, Stuart is the author of Artificial Intelligence: A Modern Approach, the most widely used textbook on artificial intelligence. In his most recent book, Human Compatible: AI and the Problem of Control, Stuart proposes a fundamentally new approach to developing AI. In this interview, Stuart warns that AI is reshaping society in unintended ways. For example, social media content selection algorithms that choose what individuals watch and read do not even know that human beings exist. As AI becomes more capable, he suggests that we are going to see bigger failures unless we change the way we think about AI altogether. Stuart argues that to ensure AI is provably beneficial for human beings, we must design machines to be inherently uncertain about human preferences. This way, we can ensure they are humble, altruistic, and committed to pursuing our objectives even as they set their own goals. We also discuss why AI needs regulation similar to civil engineering and medicine, the impact AI is going to make over the next decade, autonomous vehicles, and a variety of other topics.

Anyone who uses the cut, copy and paste commands on their computer or mobile device has Larry Tesler to thank for making them so simple and easy to use. Tesler, who has died aged 74, began his work on cut, copy and paste in 1973, when he was hired by Xerox's Palo Alto Research Center (Parc) in California. Among other things he worked with a fellow computer scientist, Tim Mott, on the development of Gypsy, a "modeless" word processor. At the time most software had modes: for example, you might press I to enter the insert mode, or R for the replace mode. But Tesler's research showed that non-expert users found modes confusing – and so he began to fight against them.