How AI Could Enhance (Not Destroy) Creativity
Explore AI's potential to enhance creativity in design and fashion, addressing ethical concerns and showcasing innovative applications in wearable technology and digital-physical integration.
Socially Responsible Machine Learning: Security, Robustness, and Beyond
Explore socially responsible machine learning, focusing on security and robustness. Discover methods to enhance adversarial robustness and address challenges in the era of foundational models.
AI as a Personal Advisor: Potential and Implications
Explore AI's potential as a supportive advisor, its impact on education, and its expanding role across various fields. Gain insights into AI research and its applications for enhancing human understanding.
AI is Also the Reinvention of Communication
Explore AI's impact on communication and its potential to address challenges in journalism and information dissemination.
Governance for Trustworthy AI
Explore governance frameworks for developing trustworthy AI systems, focusing on ethical considerations and responsible implementation strategies.
Reducing Bias in AI with Open Source
Explore strategies to leverage open-source communities in reducing AI bias, examining real-world examples and fostering collaborative discussions to create valuable resources.
Hybrid Intelligence in Negotiation Processes
Explore hybrid intelligence in negotiation, combining human expertise with AI for enhanced decision-making. Learn about societal values, inclusivity, and real-world applications in this insightful keynote.
More Is Different for AI - Scaling Up, Emergence, and Paperclip Maximizers
Explore AI scaling, emergence, and safety with Jacob Steinhardt. Discuss qualitative changes in AI systems, implications for alignment, and thought experiments like the Paperclip Maximizer. Gain insights on future AI challenges and potential solutions.
Algorithmic Decision Making and the Cost of Fairness
Explore algorithmic decision-making in pre-trial settings, examining bias identification, fairness concerns, and the trade-offs between accuracy and equity in automated systems.
CMU Advanced NLP: Bias and Fairness
Explore types of bias in NLP models, detection techniques, and mitigation strategies for fairer language processing systems.
Creative AI Conversations - Emergence of Intelligence from Resource Constraints
Explore AI's evolution, constraints, and ethics with Google Brain scientist David Ha. Gain insights on intelligence emergence, practical solutions, and the future of creative technology.
Using AI to Facilitate Environmental Justice - The Need for Ethical & Responsible AI
Explores the application of AI in environmental justice, emphasizing ethical considerations and responsible practices for weather and climate research. Discusses potential impacts and challenges in this emerging field.
AI Explainability 360 - First Half of the Tutorial
Explore AI Explainability 360 toolkit: understand machine learning models, enhance transparency, and gain insights into AI decision-making processes for more responsible and ethical AI applications.
Is the Problem in the Data? Examples on Fairness, Diversity, and Bias
Exploring AI bias through interactive examples on fairness, diversity, and hidden biases. Examines whether bias issues stem from data or other factors in machine learning models.
ChatGPT Powered NPCs in Sandbox RPG Game Smallville - Generative Agents Interactive Simulacra
Explore a groundbreaking AI-powered sandbox RPG where ChatGPT agents simulate human behavior, interact, form relationships, and create emergent narratives in a virtual town called Smallville.
Fairness and Robustness in Machine Learning – A Formal Methods Perspective - Aditya Nori, Microsoft
Explore fairness in machine learning through formal methods. Learn techniques for verifying probabilistic properties and certifying fairness in decision-making programs using FairSquare.
Human-Compatible Artificial Intelligence - Stuart Russell, University of California
Stuart Russell explores the potential and risks of AI surpassing human capabilities, proposing a fundamental shift in AI development to ensure beneficial outcomes and addressing key ethical and philosophical questions.
From AI to Eternity - The Future of Artificial Intelligence and Ethics
Explore AI's history, ethics, and future with Dame Wendy Hall. Delve into diversity, government roles, internet evolution, and the societal impacts of AI technology.
KDD TransFAT - Translating Fairness, Accountability, and Transparency - Julia Stoyanovich
Explore ethical AI challenges in automated decision systems, focusing on fairness, accountability, and transparency in hiring processes and beyond.
Interpretable Machine Learning - Data Brew Season 2 Episode 7
Explore interpretable machine learning with Ameet Talwalkar, discussing its relation to data privacy, fairness, and practical applications in this insightful interview on cutting-edge ML research.
AI - Where Science Meets Science Fiction
Exploring the intersection of AI and sci-fi, examining real-world tech advancements, societal implications, and ethical considerations through expert perspectives on robotics, data, and futurism.