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Human ai interaction

What AI gets wrong and what failure teaches us

What AI gets wrong and what failure teaches us

Jennifer Neville discusses her research into "surprising failures" in AI systems, where models, particularly LLMs, struggle with complexity in realistic user workflows. Her team focuses on practical evaluation for multi-turn conversations and agentic knowledge work, emphasizing the need for robust AI that understands context and user intent over time. She offers insights into bridging the gap between user expectations and AI capabilities, advocating for detailed user feedback and outlining the future of human-AI collaboration.

OpenAI’s Head of Design: This is the best time in history to be a designer | Ian Silber

OpenAI’s Head of Design: This is the best time in history to be a designer | Ian Silber

Ian Silber, OpenAI's Head of Design, discusses the paradoxical anxiety among designers despite AI's transformative potential. He explains why this is the best time to be a designer, emphasizing curiosity, systems thinking, and the human element in an AI-amplified world. The conversation delves into ChatGPT's evolution as a "super app" and the unique design challenges of building for vastly diverse users.

AI Won't Take Your Job—It Will Make You the CEO | The a16z Show

AI Won't Take Your Job—It Will Make You the CEO | The a16z Show

Balaji Srinivasan discusses the paradoxical nature of AI, which lowers creation costs while simultaneously raising verification costs. He argues this tension pushes society toward a "trusted tribe" model, similar to the Chinese internet, where AI excels within high-trust groups but struggles between them. The conversation covers why physical tasks are easier to automate than digital ones, how AI makes everyone a CEO rather than obsolete, and why crypto, particularly Zcash, serves as a necessary counterbalance for inter-tribe transactions in an AI-driven world.

The Doctor Is No Longer the Smartest Person in the Room (with Zack Kass)

The Doctor Is No Longer the Smartest Person in the Room (with Zack Kass)

Zack Kass discusses his book, *The Next Renaissance*, emphasizing how abundant AI will reshape human life. He delves into the decreasing correlation between wealth and happiness, attributing it to modern technology, and outlines four principles for thriving in the AI age: "Go Outside," "Learn How to Learn," "Be Human," and "Lead with Optimism." Kass illustrates how AI's cognitive commoditization pushes humanity to value empathy, compassion, and other core human qualities over mere intelligence, using compelling anecdotes from healthcare and personal finance.

KDD '25 AI Reasoning Day keynote: Improving AI Reasoning through Intent, Interaction, and Inspection

KDD '25 AI Reasoning Day keynote: Improving AI Reasoning through Intent, Interaction, and Inspection

A deep dive into practical strategies for improving AI reasoning in code and structured tasks. The talk covers capturing richer user intent through examples, enabling collaborative interaction, and using automated inspection for iterative refinement, illustrated with real-world applications from Microsoft.

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.