Exploring the impact of AI on jobs, including the uncertainties and potential risks. Discusses the role of AI in writing and creative industries. Examines income inequality and the need for wealth distribution. Explores retirement benefits and an AI chatbot handling telemarketers.

The podcast reflects on the upcoming UK AI Summit and discusses the importance of regulation and government intervention. They explore the challenges of regulating AI, compare it to chemical weapons research, and discuss the risks of genetic engineering. The concept of existential risk and the need for government involvement in AI research are also highlighted. Additionally, they discuss the challenges of communicating about AI and mention AI-powered smart glasses.

This and all episodes at: https://aiandyou.net/ .   Radiology found itself in the crosshairs of the debate about AI automating jobs when in 2016 AI expert Geoffrey Hinton said that AI would do just that to radiologists. That hasn't happened - but will it?  To get to the bottom of this, I talked with Matthew Lungren, MD, Chief Medical Information Officer at Nuance Communications, a Microsoft company applying AI to healthcare workflows, and the name that comes at the top of the list when you look up #radiology and #AI. He also has a pediatric radiology practice at UCSF  and previously led the Stanford [University] Center for Artificial Intelligence in Medicine and Imaging. More recently he served as Principal for Clinical AI/ML at Amazon Web Services in World Wide Public Sector Healthcare. He has an impressive oeuvre of over 100 publications, including work on multi-modal data fusion models for healthcare applications, and new computer vision and natural language processing approaches for healthcare-specific domains. In this interview conclusion, we talk about the details of how AI including large language models can be an effective part of a radiologist’s workflow how decisions about integrating AI into medicine can be made, and where we might be going with it in the future. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.        

This and all episodes at: https://aiandyou.net/ .   Radiology found itself in the crosshairs of the debate about AI automating jobs when in 2016 AI expert Geoffrey Hinton said that AI would do just that to radiologists. That hasn't happened - but will it?  To get to the bottom of this, I talked with Matthew Lungren, MD, Chief Medical Information Officer at Nuance Communications, a Microsoft company applying AI to healthcare workflows, and the name that comes at the top of the list when you look up #radiology and #AI. He also has a pediatric radiology practice at UCSF  and previously led the Stanford [University] Center for Artificial Intelligence in Medicine and Imaging. More recently he served as Principal for Clinical AI/ML at Amazon Web Services in World Wide Public Sector Healthcare. He has an impressive oeuvre of over 100 publications, including work on multi-modal data fusion models for healthcare applications, and new computer vision and natural language processing approaches for healthcare-specific domains. The basis for Hinton's assertion was that AI can be trained to find tumors, for instance, in CT scans, and we know how good AI is at image analysis when it’s got lots of labeled data to be trained on, and we certainly have that with CT scans.  We get to find out what's real about AI in #medicine in this episode. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.        

Guest Michael Sharpe, CEO of Magick ML, discusses generative AI agents and their incorporation into systems. They delve into the creation of AI Dungeon, concerns around agent systems, the landscape of the AI industry, and the comparison between corporations and super intelligences.

Guest: Hod Lipson, roboticist and professor at Columbia University. Topics include self-repairing robots, robot ecologies, impact of large language models in education, threats and benefits of advanced technology, and the effectiveness of AI-generated disinformation.

Hod Lipson, professor of Mechanical Engineering at Columbia University, talks about the future of robots with creativity, self-awareness, and intelligence. The podcast explores advancements in AI and robotics, challenges in achieving embodied AI, and the potential of self-aware machines. It also discusses proprioception in robots and the frustrations in battery development. Plus, there's an opportunity to participate in dialogue courses on understanding AI.

This special episode of the podcast explores our relationship with time and how AI can influence it. It discusses the prevalence of interruptions and instant messaging systems, challenges the misconception of time management, and emphasizes the need for self-reflection. It also highlights AI voice replication and the potential for abuse, previewing the next episode's discussion on robots, curiosity, creativity, and self-awareness.

This and all episodes at: https://aiandyou.net/ .   After years of show guests projecting their visions of an executive assistant AI, Babak Pahlavan is building one, over at Silicon Valley startup NinjaTech AI, and he comes on the show to tell us about the challenges of building that and what it will do. He has been working on AI since 2008, when he was the Founder and CEO of his first AI startup named CleverSense. CleverSense was acquired by Google in 2011, where it became an important personalization layer in Google Maps. Babak went on to spend 11 years at Google as a Senior Director of Product Management, where he led and scaled several large products and teams including Google Analytics, Enterprise Measurement Suite and others. He left Google in October of 2022 to found NinjaTech AI in partnership with SRI, which is the original home of Siri. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.        

This and all episodes at: https://aiandyou.net/ .   If you drive by the seat of your pants, listen to our guest Boaz Mizrachi, calling from Israel, where he is co-founder of Tactile Mobility, an autonomous vehicle platform developer that evaluates what a car feels. You base a lot of your driving decisions on how you sense the road through the wheels and transmission, so why shouldn't your AV do so too? This is important when dealing with skidding, for instance. Boaz tells us how that works in fascinating detail and where it sits in the current state of the art in AV platform integration. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.