Why AI is Unpredictable
Explore AI's unpredictability through amusing analogies and expert insights. Gain a thought-provoking perspective on the challenges and implications of artificial intelligence's inherent unpredictability.
Community Keynote - Polinho Mota
Explore the intersection of technology, ethics, and society with insights from Polinho Mota in this thought-provoking keynote address at FAccT '24.
Human-Level AI by 2030? - Prospects and Impacts
Explore AI's rapid progress and potential future impacts with Anthropic's CSO Jared Kaplan, discussing the trajectory towards human-level AI and its far-reaching implications across various domains.
Nightshade: Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models - Session 335
Explore poisoning attacks on text-to-image models, focusing on the Nightshade technique's ability to manipulate AI-generated images through targeted data manipulation.
Generative AI: From Threat to Thought - April 2024
Explore the impact of generative AI on higher education, examining its implications and potential to enhance teaching and learning practices.
From OpenAI to Open Source AI: Navigating Between Commercial Ownership and Collaborative Openness
Explore the evolution of generative AI, examining the balance between commercial interests and open collaboration. Analyze openness levels, computing power dynamics, and diverse projects shaping AI's future.
Introducing the Model Openness Framework - Achieving Completeness and Openness in Generative AI
Explore the Model Openness Framework for generative AI, emphasizing transparency, collaboration, and ethical development. Learn how this initiative shapes responsible AI practices and fosters community-driven innovation.
Protecting Open Innovation in Future AI Regulation
Exploring AI regulation's impact on open innovation across jurisdictions, comparing approaches, and discussing implications for developers and researchers in shaping AI reform.
The Open Source AI Dilemma: Crafting a Clear Definition for Open Source AI
Explore the challenges of defining Open-Source AI, balancing innovation with fundamental freedoms. Discuss unique AI aspects, open frameworks, and community-driven solutions for shaping the future of AI development.
Common Corpus - Opening Data for Building Open Source LLMs
Explore the creation of Common Corpus, a groundbreaking open data collection for training LLMs, addressing legal challenges and emphasizing data quality to empower open-source AI development.
Towards a Practical Ethics of Generative AI
Explore ethical considerations for generative AI, focusing on transparency, impact assessment, and standardized testing. Learn to develop a "moral compass" for AI applications in design and marketing.
Generative AI and LLMs - From LlamaIndex to Enterprise Applications
Explore generative AI, LLMs, and RAG with Jerry Liu, CEO of LlamaIndex. Gain insights on enterprise adoption, entrepreneurship, and the societal impact of AI in this comprehensive discussion on cutting-edge technologies.
Responsible Product Design with Generative AI
Explore generative AI's impact on product management, including its superpowers, challenges, and applications. Learn to design responsible AI products and identify effective use cases for this transformative technology.
Separating Fact from Fiction in a World of AI Fairytales
Explore the reality of generative AI, debunking myths and examining its true applications, risks, and limitations. Gain insights into AI's evolution and potential future developments.
The Open Source AI Dilemma: Crafting a Clear Definition for Open Source AI
Explore the challenges of defining Open-Source AI, balancing innovation with fundamental open-source principles. Discuss unique AI considerations and practical approaches to foster openness in AI development.
Unsupervised Pleasures - Intersectional Language Models for Queer Futures
Exploración interactiva de modelos de lenguaje, analizando su representación de diversas identidades y proponiendo alternativas más inclusivas para un futuro tecnológico más equitativo.
Foundation Models: Strengths, Weaknesses, and Future Implications - Session 4
Experts discuss foundation models like GPT-3, exploring their strengths, limitations, and societal impact. Topics include knowledge representation, scaling, data choices, sustainability, and ethical concerns.
AI, Security, and International Peace in Challenging Times - Session 3
Explore AI's impact on global security, challenges in establishing norms, and opportunities for international peace in an era of rapid technological advancement.
Building the AI Standards Hub - Technical Standards for AI Governance
Experts discuss the AI Standards Hub initiative, its mission, and the importance of technical standards for AI governance and advancement in the UK and internationally.
Towards Safe, Reliable and Trustworthy AI
Exploring challenges and frameworks for developing safe, reliable AI systems. Introduces spec-consistent machine learning to formalize desired AI behavior for real-world applications.
The Turing Lectures - Mitigating Algorithmic Bias in AI Systems
Explore a sociotechnical approach to mitigating algorithmic bias in AI systems, featuring Dr. Nicol Turner Lee's research on an "energy star ratings" system for fair and ethical AI development.