But can a autonomous car go faster than a human driver on a race track?

Yale University’s Wu Tsai Institute and the Schmidt Program on Artificial Intelligence, Emerging Technologies, and National Power co-host the talk, “The Alignment Problem: Machine Learning and Human Values,” by Brian Christian, an award-winning author and Science Communicator in Residence at the Simons Institute for the Theory of Computing at University of California – Berkeley. Christian is recognized as a leading authority on artificial intelligence and the ethical challenges associated with emerging technologies. His latest book, “The Alignment Problem: Machine Learning and Human Values,” is a blend of history and on-the-ground reporting, tracing the explosive growth of machine learning and the wide range of resulting risks, opportunities, and unintended consequences. The book is a Los Angeles Times Finalist for Best Science & Technology Book of the Year, and Microsoft CEO Satya Nadella has named it one of the five books that inspired him in 2021. Christian is the author of the acclaimed bestsellers “The Most Human Human” and “Algorithms to Live By.” His writing has appeared in The New Yorker, The Atlantic, Wired, and The Wall Street Journal, as well as peer-reviewed journals. He holds degrees in computer science, philosophy, and poetry from Brown University and the University of Washington.  The talk is moderated by John Lafferty, John C. Malone Professor of Statistics & Data Science, and Director of the Center for Neurocomputation and Machine Intelligence at Yale.

Matt Taylor speaks at DLRL Summer School with his lecture on Human in the Loop. CIFAR’s Deep Learning & Reinforcement Learning (DLRL) Summer School brings together graduate students, post-docs and professionals to cover the foundational research, new developments, and real-world applications of deep learning and reinforcement learning. Participants learn directly from world-renowned researchers and lecturers. DLRL Summer School 2019 happened July 24 – August 2 in Edmonton, Alberta, Canada. The event is a part of both the CIFAR Learning in Machines & Brains program and CIFAR Pan-Canadian AI Strategy’s National Program of Activities, and is delivered in partnership with Canada’s three national AI Institutes, Amii, Mila and the Vector Institute. Learn more about CIFAR here: https://www.cifar.ca/ Learn more about the DLRL Summer School here: https://dlrlsummerschool.ca Learn more about Amii here: https://www.amii.ca

Professor Hima Lakkaraju of Harvard University joined us on April 11, 2022, for “Does Model Understanding Improve Human Decision Making?” Abstract As machine learning (ML) models are increasingly being employed to make consequential decisions in high-stakes settings such as finance, healthcare, and hiring, it becomes important to ensure that these models are actually beneficial to human decision makers. To this end, recent research in ML has focused on developing techniques which aim to explain complex models to domain experts/decision makers so that they can determine if, when, and how much to rely on the predictions of these models. In this talk, I will give a brief overview of the state-of-the-art in explaining ML models, and then present some of our recent research on understanding the impact of explaining the rationale behind model predictions to decision makers. More specifically, I will discuss two user studies that we carried out with domain experts in healthcare (e.g., doctors) and hiring (e.g., recruiters) settings where we analyzed the impact of explaining the rationale behind model predictions on the accuracy and the discriminatory biases in the decision making process.

George McDonald Church (born August 28, 1954) is an American geneticist, molecular engineer, and chemist. As of 2015, he is Robert Winthrop Professor of Genetics at Harvard Medical School and Professor of Health Sciences and Technology at Harvard and MIT, and was a founding member of the Wyss Institute for Biologically Inspired Engineering at Harvard.

Algorithmic Risk Assessments Can Alter Human Decision-Making Processes in High-Stakes Government Contexts Ben Green, Yiling Chen CSCW’21: ACM Conference on Computer-Supported Cooperative Work and Social Computing Session: Algorithms and Decision Making Abstract Governments are increasingly turning to algorithmic risk assessments when making important decisions (such as whether to release criminal defendants before trial). Policymakers assert that providing public servants with algorithms will improve human risk predictions and thereby lead to better (e.g., fairer) decisions. Yet because many policy decisions require balancing risk-reduction with competing goals, improving the accuracy of predictions may not necessarily improve the quality of decisions. Through an experiment with 2,140 lay participants simulating two high-stakes government contexts, we interrogate the assumption that improving human prediction accuracy with risk assessments will improve human decisions. We provide the first direct evidence that risk assessments can systematically alter how people factor risk into their decisions. These shifts counteract the potential benefits of improved prediction accuracy. In the pretrial setting of our experiment, the risk assessment made participants more sensitive to increases in perceived risk when making decisions; this shift increased the racial disparity in pretrial detention by 1.9%. In the government home improvement loans setting of our experiment, the risk assessment made participants more risk-averse when making decisions; this shift reduced government aid by 8.3%. These results demonstrate the potential limits and harms of efforts to improve public policy by incorporating predictive algorithms into multifaceted policy decisions. If these observed behaviors occurred in practice, presenting algorithms to public servants would [More]

On November 24th we had the honor to host Sofie Nabseth on Impact of Design on Human Decision-Making in AI Systems with the AIxDesign Community! https://www.eventbrite.com/e/impact-of-design-on-human-decision-making-in-ai-systems-with-sofie-nabseth-tickets-211712416537?aff=ebdsoporgprofile About the Talk Now more than ever, advanced technologies are being put into practice around us. Evolving technologies have brought about a change in human behavior when interacting with AI. For example, certain products are shaped in a certain way around us to accommodate certain technologies. This is also shaped the interface delivering such technology (Think: Google Home or Fitbit). In this talk, Sofie will dive into the risks, opportunities, and application areas of how design and UX shape human decision-making when it comes to AI and products that harness the capabilities of AI. Human behavior results not only from intentions and deliberate decisions but also from its interaction with technological artifacts. She will also touch upon the basics of captology which is the study of computers as persuasive technologies. Here, persuasion broadly covers behavior change and change in user motivation brought about by evolving technologies. About the Speaker Meet Sofie Nabseth, part of the core team at the AI company Sana Labs. Over the last years, Sofie has headed Sana Labs’ global marketing activities and expanded their international footprint. From brand and positioning to global AI summits and lead generation, bringing the benefits of AI in learning to tens of thousands of individuals across the globe. Sofie is now responsible for business development, helping organizations in various industries leverage AI in learning. Sofie [More]

Dr. Williams has a PhD in Computer Science (University of Sydney) and a Master in Laws (University of Edinburgh). She is a leading authority on Data Science and AI with transdisciplinary strengths in Strategic Management, Disruptive Innovation, Entrepreneurship, Computer Science, Autonomous Decision Making, Machine Learning, Robotics, Ethics, IP Law, and Privacy Law. Dr. Williams has a passion for digital transformation. She established the Innovation and Enterprise Research Lab (aka The Magic Lab) in 2002, which actively engages with researchers and students in the Magic Lab. The research objective of this group is to bring science fiction to reality through the design of intelligent autonomous technologies that can learn and adapt as they interact and work with people. She is currently working with the United Nations on the impact of AI on Human Rights, Sustainable Development, and Peaces & Security. https://www.thoughtworks.com/engineering-research-symposium

Economics of Artificial Intelligence Conference, Fall 2021 https://www.nber.org/conferences/economics-artificial-intelligence-conference-fall-2021 DATE: September 23-24, 2021 How Does AI Improve Human Decision-Making? Evidence from the AI-Powered Go Program AUTHOR(S): Sukwoong Choi, Massachusetts Institute of Technology Namil Kim, Harbin Institute of Technology Junsik Kim, KAIST Hyo Kang, University of Southern California DISCUSSANT(S): Ananya Sen, Carnegie Mellon University Amalia R. Miller, University of Virginia and NBER

Elon Musk has called it a compelling guide to the challenges and choices in our quest for a great future of life on Earth and beyond, while Stephen Hawking and Ray Kurzweil have referred to it as an introduction and guide to the most important conversation of our time. “It” is Max Tegmark’s new book, Life 3.0: Being Human in the Age of Artificial Intelligence. In this interview, Ariel speaks with Max about the future of artificial intelligence. What will happen when machines surpass humans at every task? Will superhuman artificial intelligence arrive in our lifetime? Can and should it be controlled, and if so, by whom? Can humanity survive in the age of AI? And if so, how can we find meaning and purpose if super-intelligent machines provide for all our needs and make all our contributions superfluous? Find the page for this podcast here: https://futureoflife.org/2017/08/29/podcast-life-3-0-human-age-artificial-intelligence/ Have any feedback about the podcast? You can share your thoughts here: www.surveymonkey.com/r/DRBFZCT Follow the podcast on: Spotify: https://open.spotify.com/show/2Op1WO3gwVwCrYHg4eoGyP Apple Podcasts: https://podcasts.apple.com/us/podcast/future-of-life-institute-podcast/id1170991978?mt=2 SoundCloud: https://soundcloud.com/futureoflife This podcast is possible because of the support of listeners like you. If you found this conversation to be meaningful or valuable, consider supporting it directly by donating at: https://futureoflife.org/donate Contributions like yours make these conversations possible.

Dr. Geordie Rose’s opening presentation for the dialogue “What does it mean to be human? Ghosts and Machines” with philosopher Dr. Michael Murray and cognitive scientist Dr. Julien Musolino. The full event can be seen here at https://www.youtube.com/watch?v=2IYR22ouDP8 .

We should try to speak english. There are many people that are not speak english perfectly. So, try to discuss with group. Its makes your confidence

Supervector Dimension Reduction for Efficient Speaker Age Estimation Based on the ASS presents a novel dimension reduction method which aims to improve the accuracy and the efficiency of speaker’s age estimation systems based on speech signal. Two different age estimation approaches were studied and implemented; the first, age-group classification, and the second, precise age estimation using regression. These two approaches use the Gaussian mixture model (GMM) supervectors as features for a support vector machine (SVM) model. When a radial basis function (RBF) kernel is used, the accuracy is improved compared to using a linear kernel; however, the computation complexity is more sensitive to the feature dimension. Classic dimension reduction methods like principal component analysis (PCA) and linear discriminant analysis (LDA) tend to eliminate the relevant feature information and cannot always be applied without damaging the model’s accuracy.

Dave Gershgorn from OneZero talks about how bias can creep into AI systems and what can be done to prevent it. Subscribe & watch the full Tech News Weekly podcast: https://twit.tv/tnw/131  Hosts: Jason Howell, Mikah Sargent Guest: Dave Gershgorn You can find more about TWiT and subscribe to our full shows at https://shows.twit.tv/ Subscribe: https://twit.tv/subscribe Products we recommend: https://twit.to/amazon TWiT may earn commissions on certain products. Join our TWiT Community on Discourse: https://www.twit.community/ Follow us: https://twit.tv/ https://twitter.com/TWiT https://www.facebook.com/TWiTNetwork https://www.instagram.com/twit.tv/ About us: TWiT.tv is a technology podcasting network located in the San Francisco Bay Area with the #1 ranked technology podcast This Week in Tech hosted by Leo Laporte. Every week we produce over 30 hours of content on a variety of programs including Tech News Weekly, MacBreak Weekly, This Week in Google, Windows Weekly, Security Now, All About Android, and more.

Belinda Djamson, Accenture’s Data and Analytics Management Lead UK&I, reveals an AI-led solution for interviews that itself revealed bias in the data that fed its ‘insights’, as a warning of the human errors that can still creep into even the most well-built strategies. Filmed at The Studio 2019.

This Week On Future Human A.I – A look to the future to see how advancements in A.I. are increasingly blurring the distinction between what is human and what is machine. What kind of future are we, and the machines that are becoming so much a part of our lives, creating for generations to come? – A look at the ways in which artificial intelligence is currently being used to make life easier. State-of-the-art robots are introduced and their expanding role in modern life is discussed. Subscribe to Spark for more amazing science, tech & engineering videos: https://goo.gl/LIrlur 🚀 Find us on: Facebook: https://www.facebook.com/SparkDocs/ Instagram: https://www.instagram.com/spark_channel/ Content licensed from DRG to Little Dot Studios. Any queries, please contact us at: owned-enquiries@littledotstudios.com #ArtificialIntelligence #Robotics #Automation

A look at the many and varied ways in which A.I is being used today to make our lives easier; from robots that keep the elderly company, to machines designed to imitate human behaviour, emotions, and facial expressions. – A look at the ways in which artificial intelligence is currently being used to make life easier. State-of-the-art robots are introduced and their expanding role in modern life is discussed. Subscribe to Spark for more amazing science, tech & engineering videos: https://goo.gl/LIrlur 🚀 Find us on: Facebook: https://www.facebook.com/SparkDocs/ Instagram: https://www.instagram.com/spark_channel/ Content licensed from DRG to Little Dot Studios. Any queries, please contact us at: owned-enquiries@littledotstudios.com #ArtificialIntelligence #Robotics #Automation

Artificial Intelligence vs Human Intelligence who will win? | AI vs Humans Who is more Powerful? | AI VS HI About the Video: 0:00 Artificial Intelligence versus Humans who will win? 1:47 What is Artificial Intelligence? 2:20 What is Human Intelligence? Differences between Artificial Intelligence and Human Intelligence 2:53 1. Nature 3:11 2. Speed of AI and Human Intelligence 3:28 3. Learning Power 4:08 4. Multitasking 4:24 5. Adaptation of AI and Human Intelligence 4:41 6. Social Interaction 5:01 What is the role of artificial intelligence in the human world? 5:58 What will the future hold for Artificial Intelligence versus Human Intelligence? Grab More Information related to Future AI, Technology, and many more: https://futureyan.com/ Hard to click this button: Try Me https://www.youtube.com/c/FUTUREYAN?sub_confirmation=1 Additional Video: 10 Best Examples of Artificial Intelligence (AI) | Power of Artificial Intelligence in Real Life: https://youtu.be/P2zdHfVj78Y How Artificial Intelligence is changing the dynamics in Video Editing? | Video Editing with AI: https://youtu.be/3QlMn9ZIsdk 10 Most Popular GOOGLE AI PROJECTS that Rule the Market | Mind Blowing Google Projects: https://youtu.be/PcwYNXn1RxA All About AI: https://www.youtube.com/playlist?list=PLUN-nTJncvtITQd3o6qNJbsWcOvY5S1e_ #AI #MI #ArtificialIntelligence #HumanIntelligence #hi Artificial Intelligence Human Intelligence ai vs human ai vs human intelligence human vs ai Artificial Intelligence vs Human Intelligence Artificial Intelligence vs Human Intelligence who will win

Who will have real power over artificial intelligence? Chua Enlai examines the pursuit of A.I. in America, China, Sweden and Singapore. Filmed and broadcasted in 2019. WATCH MORE Becoming Human Part 1: https://youtu.be/LO6aybP6pR4 Part 2: https://youtu.be/rZM2W4ya_Cw Part 3: https://youtu.be/cv2koXuaPac ======== About the show: Comedic actor Chua Enlai embarks on a zany exploration of artificial intelligence. He examines how A.I. is becoming human as it is shaped by our love, intelligence, ethics and power. ============== #CNAInsider #BecomingHumanCNA #AI #ArtificialIntelligence #Technology For more, SUBSCRIBE to CNA INSIDER https://cna.asia/insideryoutubesub Follow CNA INSIDER on: Instagram: https://www.instagram.com/cnainsider/ Facebook: https://www.facebook.com/cnainsider/ Website: https://cna.asia/cnainsider

Honda demonstrate the revamped Asimo robot, making the childlike machine run, hop around as well as serve drinks to show how the humanoid is now smarter and even more agile

In 2019, for a short investigation, I went to Shenzhen’s Aohu Industrial Zone, a cluster of factories near Aohu Village, most of which have been built for 20-30 years. I have seen the relationship between machines and people in these factories, which makes me reunderstand machines. On the one hand, machines imitate and replace people’s operation, and I can see people’s thinking, but at the same time, they have their own logic, just like their own life. Others have added many simple and direct modifications to the long-term production process to achieve the unity of the body and the machine. Due to the sudden arrival of COVID-19 at the beginning of 2020, our previously arranged team’s in-depth investigation was terminated. Due to the impact of the COVID-19 epidemic, some small factories in the industrial zone have closed down, and some factories have switched to the production of mask equipment, while some factories are still very good. In addition, with the urbanization and the arrival of subway and more workers, the operating costs of factories have increased, and some factories have been evacuated one after another. After a year, the team members were unable to convene again. Now, what is presented is a video work completed with the earliest research materials. Artist group: Self-Built House Reformation of Urban Village

Artificial intelligence offers a vast variety of applications, among them the potential to help us unlock the mysteries of the brain. At the same time, the advancement of AI is tied to a better understanding of the workings of the human brain and the processes underlying learning, memory formation, and decision-making. This month’s DWIH Coffee Talk takes a closer look at the two-way relationship between neuroscience and AI. Moderator Axel Karpenstein (DWIH Tokyo) is in conversation with Dr. Nicolas Schuck (Max Planck Institute for Human Development) and Dr. Mingbo Cai (International Research Center for Neurointelligence at Tokyo University). Together they will discuss the basic processes underlying learning, memory, and decision-making, how recent research in neuroscience can help improve AI systems, and whether artificial intelligence will be smarter than human intelligence at some point. Streaming in Japanese: https://www.youtube.com/watch?v=Zgl–aB3Ns0 – Event Information – Date: Tuesday, July 06, 2021 Time: 17:00-18:00 (JST) / 10:00-11:00 (CEST) Organiser: German Centre for Research and Innovation Tokyo (DWIH Tokyo) About Coffee Talk #4: https://www.dwih-tokyo.org/en/event/2021-07-06-coffeetalk4/ About DWIH Coffee Talk: https://www.dwih-tokyo.org/en/2021/02/26/dwih-coffee-talk/ – DWIH Tokyo Newsletter – Subscribe to our newsletter: https://www.dwih-tokyo.org/en/newsletter-registration/

If you have ever been wracked with indecision over seemingly simple tasks, such as what clothes to wear that day or which restaurant to choose for dinner, then Cognitive and Computer Scientist, Tom Griffiths has the solution – there’s an algorithm for that. In this talk, he offers practical solutions to problems as well as a different way to think about rational decision-making and argues that human choices can be made easier with computer science. Tom Griffiths is a Professor of Psychology and Cognitive Science at the University of California, Berkeley, where he is also the Director of the Institute of Cognitive and Brain Sciences. His research explores connections between human and machine learning, using ideas from statistics and artificial intelligence to understand how people solve the challenging computational problems they encounter in everyday life. Tom was an undergraduate at the University of Western Australia, completed his PhD in Psychology at Stanford University in 2005, and taught at Brown University before moving to Berkeley. He has received early career awards for his research from the United States National Science Foundation, the Sloan Foundation, the Society for Mathematical Psychology, the Society for Experimental Psychology, the Association for Psychological Science, and the American Psychological Association. In 2016, Tom and his friend and collaborator Brian Christian published _Algorithms to live by_, introducing ideas from computer science and cognitive science to a general audience and illustrating how they can be applied to human decision-making. The book was named as one of the Amazon.com “Best [More]

What are the differences between Human intelligence and artificial intelligence by PolartaraWorks ……………………………………………………………………………… Namaskar, I hope you are doing well and happily enjoying your precious time with your family and folks. Here I am presenting a video on differences between Human intelligence and artificial intelligence. I hope you will love it. In this video, I am explaining about; 1. Human intelligence and Artificial intelligence 2. Top 5 differences between AI & HI With this we’ll cover other aspects too. If you think I am doing well, please join the POLARTARA WORKS team by SUBSCRIBING the channel. ……………………………………………………………………………… TIME-STAMPS 00:00 Introduction 00:40 AI Vs Humans 01:31 Difference number 5 01:52 Difference number 4 02:03 Difference number 3 02:32 Difference number 2 02:54 Difference number 1 ……………………………………………………………………………… MY GEARS My DSLR: https://amzn.to/3lVqWme Mike: https://amzn.to/3CLW90X ……………………………………………………………………………… ABOUT THE CHANNEL Our channel is about Science and Technology. We cover lots of cool stuff about technology, and how technology can improve our lives. Check out the channel here: https://www.youtube.com/channel/UCaj4… Don’t forget to subscribe!! ……………………………………………………………………………… CHECK OUT OUR LAST THREE VIDEOS I have also uploaded awesome videos on the channel. Don’t forget to show some love by sharing it with your folks and family; 19. What is the best IOT development platform in the world? https://youtu.be/qGjNN_qJDG0 18. How to change YouTube video audio after upload https://youtu.be/O94mI-Yh_FU 17. What is pegasus in Hindi https://youtu.be/CQ7XL1wcMrQ OR Checkout the Playlists as per your interest. ……………………………………………………………………………… PolartaraWorks, Works, Working, Concept, Technical, technology, Interesting videos. ……………………………………………………………………………… FIND US AT https://framingstars.in/ ……………………………………………………………………………… [More]

October 28, 2021 The Tanner Humanities Center was proud to host Shoshana Zuboff for the Obert C. Tanner Lectures on Artificial Intelligence and Human Values, a special series of the Tanner Lectures program. This lecture series on artificial intelligence will also take place at University of California Berkeley, University of Cambridge, University of Michigan, University of Oxford, Stanford University, and Yale University during the 2021-22 and 2022-23 academic years. Zuboff is the author of three books, each of which signaled the start of a new epoch in technological society. In the late 1980s she foresaw how computers would revolutionize the modern workplace. Writing before the invention of the iPod or Uber, she predicted the rise of digitally-mediated products and services tailored to the individual. She also warned of the individual and societal risks. Now her masterwork, The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power, synthesizes years of research to reveal a world in which technology users are neither customers, employees, nor products. Instead, she argues they are the raw material for new procedures of manufacturing and sales that define an entirely new economic order—a surveillance economy. She invites alternative approaches. Zuboff is the Charles Edward Wilson Professor Emerita at Harvard Business School and a former Faculty Associate at the Berkman Klein Center for Internet and Society at Harvard Law School.