Fairness in Algorithmic Decision Making for Financial Services
Explore fairness in AI algorithms for financial services, addressing bias detection and mitigation to ensure ethical decision-making.
How F.A.T. is Your ML Model Quality in the Era of Software
Explore F.A.T. (Fairness, Accountability, Transparency) properties for assessing ML model quality. Learn evaluation approaches, governance benchmarks, and bias mitigation techniques through case studies.
Aligning AI to Everyone via Reinforcement Learning
Explore reinforcement learning techniques for aligning AI with human values, fostering cooperation and trust in intelligent decision-making systems.
The UN Is Speaking Up About AI - Here's What They're Saying
Explore the UN's plan for "Governing AI for Humanity" and its implications for global AI development with geopolitical expert Ian Bremmer and host Bilawal Sidhu.
The Need for Diverse Perspectives in AI Security - Episode 139
Explore diverse perspectives in AI security, early measures, and risk evaluations. Learn collaboration strategies and resources for addressing AI-related risks.
Managing Machine Learning Projects - From Design to Deployment
Explore ML project management strategies, from setup to production integration. Learn to navigate challenges, assess models, and align with business processes for successful implementation.
A Statistical Journey through Trustworthy AI
Explore statistical perspectives on privacy, robustness, and fairness in AI, focusing on machine un-learning, adversarial robustness, and fair Bayes-optimal classifiers.
Guardrails for Trustworthy AI: Balancing Innovation and Responsibility
Explore strategies for implementing trustworthy AI, focusing on fairness, accountability, and ethical use of large language models. Learn to balance innovation with responsible AI practices.
Human-Centered Explainable AI
Explore human-centered explainable AI with Professor Mark Reidl, focusing on key concepts, latest research, and practical applications in this emerging field of artificial intelligence.
Prosocial LLMs - Advancing Ethical AI Development
Explore pro-social language models with Dartmouth's Soroush Vosoughi, examining their potential for positive societal impact and ethical AI development.
Why This is the Moment for Public AI
Explore the urgent need for public AI alternatives and their potential impact on society in this thought-provoking keynote by Lawrence Lessig at the Library of Congress.
Regulating Artificial Intelligence - Challenges and Frameworks
Explore the implications of EU AI regulations and their impact on technology development with experts from the Alan Turing Institute.
How Good is AI at Detecting Online Hate?
Explore AI's capabilities and limitations in detecting online hate speech, focusing on the HateCheck suite for evaluating hate speech detection models.
Enabling Trusted AI with Databricks and Informatica - KPMG Case Study
Discover how KPMG leverages Databricks and Informatica to build trusted AI models, addressing data quality, governance, and ethical challenges for data-driven decision-making and business success.
Challenges in Making Large Language Models Safe and Robust
Explore root causes of safety concerns and attacks on LLMs, evaluate defense strategies, and examine broader implications for machine learning safety and robustness.
Responsible AI Toolbox: Practical Approaches and Tools for Ethical Machine Learning
Explore practical approaches to responsible AI and learn how open-source and cloud-integrated capabilities empower data scientists to understand and improve ML models ethically.
Fostering Cooperation via Fairness in AI Systems
Explore fairness in AI decision-making, addressing efficiency, elicitation, and incentives. Learn theoretical foundations for fairness in voting, resource allocation, and machine learning.
How to Train an LLM, Ethics, and the Future of AI
Explore AI's intricacies, ethical implications, and future. Delve into LLM training, data ethics, job displacement, and human uniqueness. Examine latent space, voice modeling, and AI consciousness.
Keynote: Open Source AI Now - Why Open Must Win the AI War
Explore the critical importance of open source in the AI revolution and why it's essential for open technologies to prevail in the evolving landscape.
AI Regulation: Can Congress or the EU Get It Right?
Explore the challenges and potential outcomes of AI regulation efforts by governments, examining ethical concerns and regulatory approaches.
The Atomic Human - Understanding Ourselves in the Age of AI
Explore the impact of AI on human understanding and society through Professor Neil Lawrence's insightful keynote at the ELLIS Community Event in Helsinki.