Opportunities for People in an Age of AI
Exploring AI's potential to revolutionize healthcare, agriculture, education, and transportation while addressing ethical concerns, governance, and future job prospects.
Responsible AI: Importance, Challenges, and Future Directions
Explore responsible AI with IBM's Dr. Stacy Hobson, discussing its importance, examples of irresponsible AI, and future developments in inclusive technology research.
Moral AI Intelligence
Explorez les défis éthiques et les implications morales de l'intelligence artificielle avec l'expert Jean-François Bonnefon.
Managing AI and Associated Risks in a Regulatory Environment
Explore AI's evolution, regulatory trends, and risk management practices in high-stakes industries with expert insights on navigating the complex AI landscape.
How to Go Beyond Research
Explore strategies for translating AI research into real-world impact, focusing on cooperation and conflict resolution among AI systems.
Why Open Source AI Matters - Towards a Clear Definition
Explore the need for a clear definition of open source AI, addressing innovation benefits, safety risks, and economic impact. Learn about OSI's efforts and how to contribute.
Defining 'Open Source' in the Open Source AI Future
Explore the evolving definition of 'Open Source' in the context of AI's future, examining its implications and challenges for the tech industry and society.
Move from Raw Data to Machine Learning Faster with BigQuery and Vertex AI
Accelerate ML development using BigQuery and Vertex AI. Learn to streamline data-to-AI workflows, improve quality, and support governance on Google Cloud.
Evolving AI Governance for an LLM World - Part 2
Explore evolving AI governance frameworks for LLM-driven applications in production, addressing critical changes needed for successful implementation.
Evaluating LLMs for AI Risk - Techniques for Red Teaming Generative AI
Explore cutting-edge techniques for red-teaming generative AI and building validation engines to probe models for security, ethics, and safety issues. Learn a framework to manage AI risk across the model lifecycle.
From General AI to the Edge: Navigating the Future of Technology
Explore AI's evolution from broad principles to edge applications, examining its impact across industries and future trends while addressing ethical implications and technological challenges.
Investors' Role in Ensuring AI Safety - World Economic Forum Discussion
Investors' role in promoting responsible AI development through strategic funding and oversight. Explores real-world examples and guidelines from the Responsible AI Playbook for ensuring safe and ethical AI practices.
Data and AI Governance: Guided Innovation with Responsible by Design Framework
Explore balanced AI governance strategies for business transformation, innovation, and responsible design in this talk by Anup Bose from Infosys on data and AI governance.
MLOps and AI Governance in Healthcare - Providence's Use Case
Providence's journey implementing MLOps and AI governance in healthcare, showcasing a robust framework for safe and equitable AI expansion, including model marketplace, deployment, and risk management.
Accelerating the Operational Scale-up of GenAI - Industrializing Solutions for Business Outcomes
Discover strategies for industrializing GenAI operations, from provisioning to risk management, ensuring trusted solutions that deliver business outcomes on the Databricks platform.
Open Source AI and AI Regulation
Explore open source AI and regulatory frameworks with experts, gaining insights into the intersection of technology, ethics, and policy in artificial intelligence.
How AI Could Transform Human Health - Benefits and Risks
Experts discuss AI's potential to revolutionize healthcare, from drug development to diagnostics, while addressing ethical concerns and governance challenges for responsible implementation.
An Examination of AI Policy Frameworks: The NIST AI RMF and Others
Explore AI policy frameworks, focusing on NIST's AI Risk Management Framework. Learn about its structure, application, and related resources to improve AI trustworthiness and development.
Making the Most of Ethics Applied to AI - A Competitive Advantage Approach
Explore how ethical AI implementation can become a competitive advantage while protecting companies from reputational risks and misbehavior in the evolving tech landscape.
Using AI Governance to Safely Scale AI with Speed
Discover strategies for implementing AI governance to scale AI safely and efficiently. Learn to balance innovation with transparency, trust, and control in AI projects and models.
Rise of Responsible MLOps
Explore industry-wide developments in responsible AI, focusing on fairness, transparency, privacy, and robustness in MLOps for ethical decision-making systems.