Ethics and Responsible AI
Explore ethical considerations and responsible practices in AI development with insights from David Leslie of the Alan Turing Institute.
Public Attitudes Towards AI in the UK - Survey Findings and Discussion
Explore key findings from a UK survey on public awareness, experiences, and attitudes towards AI uses, including views on regulation and governance.
How to Regulate Foundation Models: Beyond the EU AI Act
Exploring governance of large AI models, examining unique features, legal issues, and the EU AI Act's risk-based approach. Expert panel discusses ethical and regulatory challenges.
Evaluating and Designing Responsible AI Systems for the Real World
Explore strategies for implementing Responsible AI systems, including insights from Microsoft's Bing development, prompt design, content safety, and emerging tools. Learn to prevent misuse and align with ethical AI practices.
Fireside Chat: PyTorch Foundation - Evolution, Usage, and Future
Insightful discussion on PyTorch's open-source journey, its widespread adoption, and future direction under the PyTorch Foundation. Explores governance, contributions, and upcoming developments.
Responsible AI in Banking
Explore ethical AI implementation in banking, covering bias mitigation, explainability, and continuous evaluation for responsible machine learning practices.
Algorithmic Governance and Digital Platforms - Keynote
Explore the intersection of technology, society, and ethics with renowned computer scientist Virgilio Almeida in this thought-provoking keynote address at FAccT '24.
How to Be a Good Parent to AI
Explore how parenting principles can guide responsible AI development for societal benefit, drawing insights from Prof. Chirag Shah's research on intelligent information systems.
Trust Cards for AI
Explore AI trust challenges and solutions with Trust Cards, a tool for enhancing transparency and accountability in AI systems development and deployment.
How Can We Make Trustworthy AI
Explore strategies for developing reliable and ethical AI systems, focusing on transparency, accountability, and responsible implementation in various domains.
Defining Open AI - Interactive Workshop
Interactive session exploring the definition of "open" in AI/ML systems. Participants contribute to shaping principles for collaborative AI development, reviewing a draft definition in real-time.
The Future of Open Source AI and the Generative AI Commons
Explores open source AI evolution, focusing on generative tech, domain-specific LLMs, and GenOps. Introduces Generative AI Commons initiative for democratizing AI through collaboration and responsible development.
Navigating AI and LLM Governance and Risk - Harnessing Generative AI Responsibly
Explore the impact of Generative AI on governance and risk, and learn about a 5-pillar framework for responsible AI adoption in this insightful discussion led by industry experts.
Trust in the Age of AI - Building Governance Frameworks
Explore AI governance frameworks to harness opportunities while minimizing risks. Learn how trust and legal understanding can shape responsible AI development and implementation.
Navigating the AI Frontier - The Role of the CISO in GenAI Governance
Discover how CISOs can lead AI governance, balancing risk management and innovation. Learn to integrate AI safeguards, ensure data integrity, and foster responsible practices with a comprehensive framework and roadmap.
AI: Law, Policy, and Common Sense Suggestions to Stay Out of Trouble
Explore legal, ethical, and policy considerations for AI implementation, focusing on governance structures and benchmarks to maximize success and minimize risks across industries.
Keeping Up with the Algorithms - A Journey in Artificial Intelligence
Explore AI's rapid evolution and future challenges with experts from industry, academia, and government. Gain insights on building a safe, reliable framework for AI's future.
Building Social Trust in an AI World
Explore AI's impact on work, social views, and global awareness with Meta officials and Oversight Board members. Gain insights into content moderation and decision-making processes in the AI era.
Cybersecurity Meets Generative AI - Automating Compliance Operations
Explore how LLMs can streamline cybersecurity compliance, reducing costs and time. Includes RAG application demo and discussion on AI governance concerns in compliance automation.
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.
Navigating the Ethical Landscape: Responsible AI in Practice - Panel Discussion
Experts discuss ethical considerations, societal impacts, and practical approaches for responsible AI deployment, offering insights and solutions for a more ethically sound AI ecosystem.