Last Week in AI

The latest discussions revolve around the emergence of face mask recognition technology, highlighting both its benefits and ethical concerns. Experts delve into the necessity of protecting children from AI's pervasive influence and misinformation. Google’s advancements in AI for detecting disinformation are also examined, especially in the context of elections. Additionally, the podcast scrutinizes Uber's lack of accountability after a fatal self-driving car incident, raising critical questions about responsibility and future safety in AI development.

In this insightful conversation, Professors Jong Hyun Chung, an expert in international trade, and Yong Suk Lee, a labor economics researcher at Stanford, delve into their research on the impact of robots on jobs. They discuss the surprising shift from initial job losses to recent trends of job creation and wage growth. The duo emphasizes the importance of collaborative robots and the need for supportive policies to navigate the evolving job market, highlighting the potential for both displacement and new opportunities in an increasingly automated world.

This week, innovative discussions cover AI's role in managing California's wildfire risks using drones. The podcast humorously introduces AI researchers as superheroes, while tackling serious media misrepresentation surrounding AI-generated content. It raises alarms over the sensationalism in journalism, especially regarding healthcare applications of AI. Lastly, there’s a critical look at the emergence of AI standards and export regulations, particularly for facial recognition technologies. Tune in for a blend of levity and serious insights!

This week, researchers find a way to use heartbeat patterns to detect deepfake videos, a groundbreaking approach combining biology with AI. Meanwhile, a clever AI is constantly learning by scouring the entire web. Google steps in to tackle the tricky ethics surrounding artificial intelligence, offering guidance to others. Additionally, innovations in drug synthesis are showcased, particularly AI's role in accelerating chemical reactions for vaccine development. The intersection of AI, robotics, and ethical considerations is explored throughout!

In this discussion, Daniel Beshear, a contributor to Skynet Today's Week in AI, dives into the fascinating world of deepfake technology and its implications for advertising, spotlighting Hulu's innovative use. He explores how meme creators are pushing boundaries with deepfakes while raising ethical concerns about disinformation. The conversation also delves into the evolving landscape of ethical AI, emphasizing the importance of inclusivity in tech development and accountability. Lastly, they address the potential of AI in enhancing emergency responses while navigating its complexities.

An interview with Professor Paul Brewer and PhD Students James Bingaman and Ashely Paintsil about their new survey paper "Media Messages and U.S. Public Opinion about Artificial Intelligence" about what the general U.S. public thinks about AI, and how popular media and interaction with new technology shapes it. Subscribe: RSS | iTunes | Spotify | YouTube Check out coverage of similar topics at www.skynettoday.com Theme: Deliberate Thought Kevin MacLeod (incompetech.com)

Joining the conversation are Julian Togelius, an Associate Professor researching AI in game development, and Sebastian Risi, co-director of the Robotics Evolution and Arts Lab at IT University of Copenhagen. They dive into how procedural content generation boosts adaptability in gaming. The duo discusses the exciting synergy between AI and game design, showcasing its potential to evolve dynamic environments. They also touch on the challenges of creating diverse gaming worlds and the innovative AI tools transforming game development, including NPC enhancement and automated level creation.

Daniel Bashir, an AI news summarizer, joins Stanford PhDs Andrey Kurenkov and Sharon Zhou to delve into recent AI developments. They tackle controversial topics like NYPD's facial recognition use during protests, raising ethical concerns about surveillance. The discussion shifts to the struggles of social media platforms, especially Facebook, in managing hate speech and misinformation. They also critique the fairness of algorithms used for student grading during the pandemic, highlighting the need for better methods to support educational equity.

This week, experts tackle a $224,000 contract between ICE and Clearview AI, raising serious ethics questions around facial recognition. They delve into how AI can amplify historical biases in policing, leading to troubling implications for justice. The conversation shifts to the controversial use of AI in grade predictions during COVID, which risks deepening educational inequalities. Lastly, they address the dangers of misinformation through deep fakes and the crucial need for authenticity in a digitally manipulated world.

Abigail See and Ashwin Paranjape, PhD students at Stanford AI Lab, share insights on their award-winning chatbot, Chirpy Cardinal, which secured second place in the Alexa Prize Challenge. They discuss the importance of rapid development and user feedback in creating engaging conversational AI. The duo explores the mixed initiative approach used in Chirpy Cardinal, enhancing its ability to generate empathetic responses while navigating complex social topics. They also touch on future innovations in AI and the role of open-source resources in advancing conversational interfaces.