Responsible ai

The AI Frontier: from FLOPs to Megawatts — Anjney Midha, AMP

The AI Frontier: from FLOPs to Megawatts — Anjney Midha, AMP

Anjney Midha unpacks the critical bottlenecks in AI scaling beyond just GPU acquisition, advocating for responsible infrastructure, community-aligned data centers, and an independent system operator model for compute. He discusses the perils of research hoarding, the rise of researcher CEOs, and how Anthropic's culture of "preparedness" and "output maxing" led to its success, while also highlighting his personal mission to use AI for precise end-of-life prediction.

Agentic AI Meets Shadow AI : Zero Trust Security for AI Automation

Agentic AI Meets Shadow AI : Zero Trust Security for AI Automation

The video explores the risks of Agentic AI, which acts rather than just chats, and the emergence of 'Shadow AI'—unofficial, unmonitored AI systems. It proposes a unified control plane for AI security and governance, using a continuous loop of discovery, assessment, governance, and auditing to ensure safe automation. The concepts are illustrated with practical use cases in healthcare and public services.

Architecting AI Security & Trust Layers | Sumeet Jeswani | AI/Cloud Specialist | Google #ai

Architecting AI Security & Trust Layers | Sumeet Jeswani | AI/Cloud Specialist | Google #ai

Sumeet Jeswani of Google discusses the critical shift from AI-powered to AI-orchestrated cyber attacks, where autonomous agents now lead complex security breaches. The summary explores new manipulation techniques like prompt and data injection, and outlines a multi-layered defense strategy rooted in the principles of least agency, defense-in-depth, and building security into AI systems from the ground up.

Ideas: Community building, machine learning, and the future of AI

Ideas: Community building, machine learning, and the future of AI

Co-founders Jenn Wortman Vaughan and Hanna Wallach reflect on 20 years of the Women in Machine Learning (WiML) workshop, discussing its origins, their parallel careers in responsible AI, and the future challenges of evaluating generative AI and fostering critical thought.

Ideas: Community building, machine learning, and the future of AI

Ideas: Community building, machine learning, and the future of AI

Jenn Wortman Vaughan and Hanna Wallach, co-founders of the Women in Machine Learning (WiML) workshop, reflect on their intersecting careers, the founding and evolution of WiML over 20 years, and their influential research in responsible AI, from interpretability and fairness to the current challenges in generative AI.

935: Global Issues Accelerated by AI (with Solutions), feat. Stephanie Hare

935: Global Issues Accelerated by AI (with Solutions), feat. Stephanie Hare

Researcher Stephanie Hare discusses the need for a guiding ethos in AI, similar to the Hippocratic Oath, to balance innovation with harm reduction. She explores the challenges of regulating technology, the degradation of the internet with AI-generated content, and the critical collision between AI's infrastructural demands and the climate crisis.