Zachary Lipton, Assistant Professor in the Tepper School of Business, is the guest whose research is focused on machine learning in healthcare to assist physicians through the diagnosis and treatment process. If your favorite isn’t listed here, email us at aipodcast [at] nvidia [dot] com. Latest episode: (45 min.) Robots can do amazing things. Dan and Keith met at the UN headquarters wh…, We invited Nils Holzenberger, a PhD student at JHU to talk about a dataset involving statutory reasoning in tax law Holzenberger et al. Lex Fridman | Artificial Intelligence Podcast. See our cookie policy for further details on how we use cookies and how to change your cookie settings. Today's Leading Minds Talk AI with Host Byron Reese. 130, Art(ificial) Intelligence: Pindar Van Arman Builds Robots that Paint - Ep. MIT Institute Professor Daron Acemoglu sheds light on AI’s impact on the job market and how it could help both low-skilled and high-skilled workers alike. He also breaks down how, if we implement AI properly, it could help expand the labour market and reorganize the way we work. “Hard to use, hard to understand, it’s too expensive — the system is just broken.”, “If we can think of healthcare as a supply and demand problem, and systematically digitize all the supply points so your doctors’ offices, hospitals, retail, clinics … and make all of that supply available in a consistent and systematic manner to the demand of the patients, then we can thrive.”. Artificial Intelligence and the Future of Labor Demand, 21:49 - It’s good jobs, stupid - Daron Acemoglu, 22:55 - The Future of Work? You will also learn why websites are less and less important, how segmentation is slowly transitioning to personalization, creating amazing customer experiences, disk profiles, natural language processing, and computer vision and their role in the future of marketing. 03:54 - NSW police may be investigated for ‘secret blacklist’ used to target children - The Guardian, 08:30 - 94% of Australians do not read all privacy policies that apply to them – and that’s rational behaviour - The Conversation, 09:16 - Click to agree with what? Previously, Keith served as Global AI Leader at Ernst & Young, where he supported nations to form and mature their AI plans. So, what are you going to do about it? A lot of Jeremy’s work has him involved in the top level strategy of AI implementation for the Global 2000, and he’s recently synthesized “7 sins of Entreprise AI Strategies” based off of the common mistakes he has observed. In this episode, Alex Shee speaks to him and cybersecurity expert Frederic Michaud about how AI is currently being used to make businesses safer. If your favorite isn’t listed here, drop us a note. A/B testing is the canonical answer for testing how users respond to software changes, but it gets tricky fast to think about what an A/B test means in the context of an algorithm that returns a ranked list. Tutuk talks about how business intelligence is evolving and how we might define it now that a lot of BI is becoming AI. Naomi Goldapple consults with execs about AI strategy on the regular, provides some insight. Cynthia Rudin talks about her work on explainable models, improving the parole-calculating models used in some U.S. jurisdictions and assessing seizure risk in medical patients. At a moment when most organizations are still in fairly early stages of their AI journey, Taha Jaffer, Scotiabank’s Head of Wholesale Banking and Global Treasury AI, gives us a preview of what to expect: it’s a transformative journey, and one that’s worth taking, even though elements like data, technology and governance all take time to develop. ... October 23, 2019. In the interview, Jonnie looks to the past to help answer a number of important questions about the future of AI. This Week in Machine Learning & AI caters to a highly targeted audience of machine learning and AI enthusiasts. Here are the episodes that were listener favorites in 2019. Have a few minutes to spare? Evan Peck is a guest on the show to talk about the research he and his students recently published on "Data Is Personal." When it comes to challenges in scaling your business, the answer is yes. Successful adopters of AI develop an AI-first strategy supporting all functional areas of the business: marketing, product development, customer support, sales, and beyond. She calls it Society 5.0. Our second guest Yuko Harayama co-wrote Japan’s 5 year plan for technology and innovation and was a leader in developing Japan’s national AI strategy. Latest episode: (21 min.) After a few pints and a few hours of discussion about the cutting edge of digital analytics, they realized they might have something to contribute back to the community. Moe, Michael, and Tim used a “What Grinds Our Gears?” application to discuss a range of challenges and frustrations that analysts face. This episode of the show was recorded in front of a live audience (No laugh tracks! Neil was featured in a previous episode of The AI Element, “In Data We Trust?”, in which he spoke about data trusts and data protection. Latest episode: (75 min.) Fashion e-commerce startup Stitch Fix is piecing together a seamless balance between AI-powered decision making and human judgment. Critics are worried that this could lead to job loss, but like any new technology that impacts work, it depends on how we implement it. 00:48 - How AI risk management is different and what to do about it - Element AI, 05:07 - All the Ways Hiring Algorithms Can Introduce Bias - HBR, 06:45 - The Why of Explainable AI - Element AI, 10:18 - UN Guiding Principles on Business and Human Rights, 20:07 - The New Physics of Financial Services - World Economic Forum, 24:30 - Consumer Financial Protection Bureau, Putting AI Ethics Guidelines to Work - Element AI, AI-Enabled Human Rights Monitoring - Element AI, New Power Means New Responsibility: A Framework for AI Governance - JF Gagne, Podcast: Opening the AI Black Box - Element AI. Copyright © 2020 NVIDIA Corporation, Explore our regional blogs and other social networks, ARCHITECTURE, ENGINEERING AND CONSTRUCTION, Supercomputing Chops: China’s Tsinghua Takes Top Flops in SC20 Student Cluster Battle, Bringing Enterprise Medical Imaging to Life: RSNA Highlights What’s Next for Radiology, Science Magnified: Gordon Bell Winners Combine HPC, AI, COVID-19 Spurs Scientific Revolution in Drug Discovery with AI, A Binding Decision: Startup Uses Microscopy Breakthrough to Speed Creation of COVID-19 Vaccines. 2019 was the year deep-learning driven AI made the leap from the rarefied world of elite computer scientists and the world’s biggest web companies to the rest of us. They may not know exactly what the year 2050 will look like, but they are hopeful. Have a few minutes to spare? That kind of broad definition gets to the heart of the confusion surrounding the differences between business intelligence and artificial intelligence. AI is bringing convenience to your healthcare experience. We all know our political system is “broken” — but what if that’s not true? Well, we did! Your current browser isn't compatible with SoundCloud. Benjamin Thelonious Fels says humans learn by observation, and that any explainability techniques need to take human nature into account. Philosophical Aspects of Deep Learning. AI has been described as “Thor’s Hammer“ and “the new electricity.” But it’s also a bit of a mystery – even to those who know it best. As a follow-up, we asked them what business intelligence meant to them, and their responses boiled down to anything about understanding the data businesses are already collecting. You don’t need to be an academic or to work for a big company to get into deep learning. His interview is a lesson about why innovation today without competition will lead to less innovation in the future. Listen and get inspired. Health insurance company Anthem helps patients personalize and better understand their healthcare information through AI. As AI seeps into every industry, businesses are being forced to adapt. Here’s how. Linear Digressions from Udacity | 237 episodes, 2014 – 2019, iTunes. Better Hope You’re First on the Docket, The GDPR Covers Employee/HR Data and It's Tricky, Companies are trying to test if they can make employees wear fitness trackers, Silicon Valley & the Netherlands: Drivers of the future of automation, Data trusts could allay our privacy fears, Data trusts: reinforced data governance that empowers the public, Uncertainty and the Governance Dilemma for Artificial Intelligence, Governing AI: Navigating Risks, Rewards and Uncertainty, Disturbing the ‘One Size Fits All’ Approach to Data Governance: Bottom-Up Data Trusts, Facebook’s privacy policy is longer than the US Constitution, says rigorous testing can provide explainability, Berggruen Institute, Transformation of the Human Program, Judging Machines. https://www.theatlantic.com/.../50-best-podcasts-2019/604165 Latest episode: (16 min.) No one reads terms of service, studies confirm, Up for Parole? UC Berkeley’s Gerry Zhang talks about his work using deep learning to analyze signals from space for signs of intelligent extraterrestrial civilizations. Teaches the high-level fundamentals of machine learning and artificial intelligence including basic intuition, algorithms, and math. How do we get kids excited about programming? (function() { var dsq = document.createElement('script'); dsq.type = 'text/javascript'; dsq.async = true; dsq.src = 'https://kdnuggets.disqus.com/embed.js';