Last Week in AI

The podcast dives into a range of captivating AI topics, starting with a sharp critique of GPT-3 from the ‘Godfather of AI.’ It explores fascinating collaborations aiming to harness AI for environmental monitoring and cancer care. A revealing discussion addresses the deepening inequality in AI research, spotlighting the dominance of elite institutions in publications. Finally, listeners hear about innovative strategies using GPT-3 to achieve viral content success, while raising concerns about the potential decline in online content quality.

The podcast dives into the alarming rise of a deepfake bot that exploits women's images, sparking debates on ethics and accountability. It highlights Tesla's controversial self-driving technology, facing scrutiny for safety and readiness. Additionally, discussions explore Google AI's role in creating a virtual wall at the US-Mexico border, raising significant privacy and security concerns. The show underscores the challenges of balancing innovation with corporate ethics and public safety in today's rapidly advancing AI landscape.

Join Daniel Leufer, a philosopher and tech ethics fellow, and Alexa Steinbrück, a software developer and design researcher, as they tackle common myths surrounding artificial intelligence. They dive deep into how sensational narratives skew public perception and the importance of clear communication in understanding AI's real capabilities. Discover fascinating insights about the biases within AI, the risks derived from science fiction, and the significance of language in shaping our AI discourse. Their project AIMyths.org aims to enlighten society on these crucial issues.

This week, there's a deep dive into how Microsoft is tackling the 'data desert' to enhance AI accessibility. The resignation from the Partnership on AI sparks a discussion on the slow progress in tech coalitions. A revolutionary technique allows AI to learn from nearly no data! Plus, the impact of dataset compression on AI training is analyzed, alongside serious ethical issues surrounding military AI. Tune in for fascinating insights and pressing discussions!

Jack Clark and Raymond Perrault, esteemed co-chairs of the AI Index Project at Stanford's HAI, dive into the challenges of measuring AI in policy. They discuss the intricacies of evaluating AI technologies, the need for new metrics, and the ethical dimensions of AI research. The conversation highlights the shift towards comprehensive testing methods and addresses the societal implications of deep fakes and digital resurrections. They advocate for interdisciplinary collaboration to ensure AI development aligns with ethical standards and real-world implications.

A clever GPT-3 bot managed to comment on Reddit for an entire week without anyone realizing. Meanwhile, controversial live facial recognition technology in Argentina is under scrutiny for tracking suspected criminals, raising ethical concerns about biases. The discussion also highlights how financial ties between top AI researchers and big tech influence academic integrity and research freedom. It's a mix of humor, serious topics, and thought-provoking debates on the future of AI and its societal impacts.

In this engaging conversation, Matt Beane, an assistant professor focused on technology management, dives into the impact of the pandemic on robotic integration. He discusses how traditional investment methods for automation are evolving due to uncertainty. Beane highlights the trend of maintaining human staffing alongside automation, emphasizing collaboration's importance. He also shares insights into advancements in AI-enabled robotics and the critical need for comprehensive data to guide future deployment and policies.

This week, the discussion dives into an AI tool successfully tackling sepsis deaths in hospitals while highlighting the need for collaboration with healthcare professionals. The podcast also covers the anxiety surrounding facial recognition technology in remote bar exams, raising concerns about bias and privacy. Additionally, a striking deepfake of Putin is used to address democracy fears, prompting a conversation on the ethical implications of deepfake technology and its creative potential.

Join Anima Anankumar, a machine learning research director at NVIDIA, Alexei Afras, a UC Berkeley professor specializing in computer vision, and Andrew Ng, founder of DeepLearning.AI, as they dive into the world of Generative Adversarial Networks (GANs). They discuss the transformative role GANs play in technology and creative arts, from improving unsupervised learning to their impact in natural language processing. The panel also addresses ethical considerations and the importance of diversity in AI, encouraging innovative approaches across industries.

Dive into the heated discussion on the algorithmic bias issues plaguing Twitter and Zoom. Explore the controversial use of facial recognition by the LAPD, revealing surprising stats. Hear skepticism from AI experts about trusting technology in healthcare, especially post-COVID. Delve into the debate on introducing robotic companions in UK care homes – a potential remedy for loneliness, but with a need for human connection. Plus, learn about OpenAI's exclusive deal with Microsoft regarding GPT-3 and its implications for the future of AI.