Love and Robots - Filtering Cheeky from Toxic with AI Content Moderation
Explore AI's role in content moderation, distinguishing harmful from benign content through context-aware technology to foster genuine online connections.
AI is Not Smarter Than Us, but It Will Try Harder - For Better or Worse
Explore AI's impact on industries, decision-making challenges, and human qualities machines can't replicate with insights from entrepreneur Karl Jacob.
Responsible AI: Challenges and Emerging Practices - Keynote
Explore challenges and emerging practices in responsible AI, including unintended consequences, model interpretability, fairness, and engineering objectives.
The AI Act and Open Washing
Explore the implications of the AI Act and the concept of "open washing" in AI development with insights from Professor Andreas Liesenfeld.
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.
Beyond Black Boxes: Guide to Testing AI-Powered Applications
Explore challenges and strategies for testing AI applications, focusing on clarity, fairness, and robustness. Gain insights to build trust and mitigate risks in AI-driven systems.
Cultural Shift - Making Data and AI Everyone's Business Responsibly
Explore data and AI's impact, strategies for data literacy, ethical considerations, and AI integration in business operations. Learn to harness their transformative power responsibly.
What AI Can, Can't, and Shouldn't Do for Games
Legendary game designer John Romero explores AI's potential, limitations, and ethical considerations in game development, offering insights for creators and industry professionals.
AI Bias and Fairness
Comprehensive exploration of AI bias and fairness, covering types, sources, and mitigation strategies. Examines interpretation-driven and data-driven biases, feature bias, and advanced debiasing techniques for ethical AI development.
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.
Can You Trust Your AI?
Explore Explainable AI and its role in fostering trust in AI systems. Learn about the TrustyAI initiative, different types of explanations, and the importance of transparency in AI decision-making.
Some Pitfalls in AI
Explore common pitfalls in AI applications, including bias, adversarial attacks, ethics, and privacy concerns, to better understand the challenges and risks of autonomous decision-making systems.
Stop Explaining Black Box ML Models for High Stakes Decisions and Use Interpretable Models
Explore the societal impact of black box ML models in high-stakes decisions and discover the benefits of using interpretable models for transparent decision-making.
How Generative AI is Changing the Way People Interact with Computers
Explore the evolution, capabilities, and ethical implications of generative AI technologies, focusing on how they're revolutionizing human-computer interaction and shaping future applications.
The Age of Artificial Intelligence - What You Don't Know May Surprise You
Discover how AI transforms banking and finance through expert insights into global innovations, regional initiatives, ethical considerations, and future integration challenges in financial services.
Bias Identification and Mitigation in AI Systems
Explore techniques for identifying and mitigating bias in AI systems with NLP expert Arnault Gombert.
Where Did My Model Go Wrong? Toolkits of Interpretability, Bias and Fairness to the Rescue
Explore techniques to identify and correct biases in machine learning models, interpret results, and ensure fair outcomes in model development and deployment.
What Exactly Is Your Machine Learning? Exploring Ethical Implications and Challenges
Explore the depths of machine learning, discussing data, biases, technology, and human behaviors. Challenge ethical questions in predicting accurate outcomes.
Recommenders with Values: Developing Recommendation Engines in a Public Service Organization
Explore how BBC develops recommender systems aligned with public service values, addressing methodological and cultural challenges in content recommendation for diverse audiences.
Lack of Fairness in AI-Based Medical Image Diagnostic Tools
Explore fairness challenges in AI-based medical image diagnostics with Dr. Seyyed-Kalantari. Gain insights on developing responsible AI tools for trustworthy clinical deployment.
An Interdisciplinary Expert Pool for Natural Language Understanding
Explore an innovative cross-disciplinary approach to address ethical challenges in AI language models, focusing on data representation, fairness, and responsible innovation.