Artificial Intelligence - Fuelling Ethical Innovation
Explore ethical AI innovation's potential for positive societal impact with insights from a dynamic professional experienced in leadership, strategy, and technology entrepreneurship.
Data Ethics Emergency Drill: A Toolbox for Discussing Responsible AI - Industry Teams
Toolbox for data science teams to discuss ethical implications of AI through roleplay scenarios, fostering responsible practices and real-world application of ethical considerations.
Explainable Data-Centric AI
Explore the next generation of AI systems through Data-Centric AI, focusing on data selection, engineering, and curation for robust, fair, and responsible AI with sustainable performance.
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.
Building Ethical AI: The Power of Open Source and Education
Explore the fusion of Trusted AI, Responsible AI, and Generative AI education grounded in Open-Source principles for an ethical, equitable, and accessible AI future.
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.
Pioneering Ethics: Forging AI's Moral Compass
Explore the ethical challenges of AI integration in daily life with legal expert Antara Jha. Discover strategies for responsible AI use and its potential to drive positive societal change.
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.
Claude 3 Models Comparison: Opus, Sonnet, and Haiku - Performance and Features
Explore Claude 3's new models, comparing capabilities and performance through demos and benchmarks. Gain insights into Anthropic's latest AI advancements and their practical applications.
Deploying Trustworthy Generative AI - Ethical Considerations and Best Practices
Explore ethical considerations and best practices for responsible deployment of generative AI, focusing on real-world use cases, robustness evaluation, and strategies to build reliable AI applications.
A Preview of AI Safety
Explore the intersection of AI and cybersecurity, focusing on AI safety and its implications for the future of technology and security.
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.
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.
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.
Advancing Responsible AI: Unveiling the Software Carbon Efficiency Rating for LLMs
Explore the SCER initiative for measuring and improving carbon efficiency of Large Language Models, promoting sustainable AI development and renewable energy adoption.
The Modern Trolley Problem - Responsible AI Principles
Explore ethical challenges in AI-driven vehicles, from decision-making algorithms to object recognition. Delve into Responsible AI Principles and their crucial role in shaping autonomous technology's future.
Navigating the GENAI Frontier: Empowering Data Scientists as Ethical Innovators
Explore ethical innovation in GenAI with Alison Cossette. Learn about algorithmic literacy, transparency, and bias mitigation to become a responsible data scientist shaping AI's future for societal benefit.
Creating, Building, and Releasing Gemma - Google's Open Model Family
Explore Gemma, Google's open model family, with engineer Kathleen Kenealy. Discover the journey from concept to release, the importance of open technology, and the future of AI development.
Risks of Generative AI - Ethical and Social Implications
Explore the ethical implications and potential risks of generative AI with expert Mhairi Aitken, discussing societal impacts, regulation challenges, and strategies for responsible development and use.
Responsible AI in Practice - Building Ethical Machine Learning Systems
Explore best practices and open-source tools for implementing Responsible AI, ensuring ethical standards in machine learning applications across industries. Learn to align AI development with human-centric principles.