How Developers Are Hacking AI to Shape the Future of Humanity
Explore AI's evolution, biases, and governance with Dr Rumman Chowdhury. Gain insights on building accountable AI, algorithmic audits, and the role of developers in shaping ethical AI systems for the future.
Navigating the AI Labyrinth in Higher Education
Explore challenges and strategies for teaching AI in higher education, addressing its evolving nature, multidisciplinary aspects, and preparing students for future innovations and ethical considerations.
AI Hallucinations and Manipulation - How to Use AI Coding Tools Securely - DevSecCon
Explore AI coding tools' security implications, challenging their ability to produce secure software and learning strategies for safe implementation in development workflows.
LLM Alignment - Techniques for Building Human-Aligned AI
Explore advanced techniques for aligning AI with human values, including RLHF, IFT, and DPO. Learn about the evolution of LLMs and discuss ethical implications in AI development.
Unveiling Tomorrow: Exploring the Frontiers of Generative AI
Explore the frontiers of generative AI, from emerging models and use cases to challenges, trends, and regulatory implications. Gain insights into implementation, security, and future developments.
Automating Knowledge Work with Generative AI
Explore generative AI's impact on knowledge work, learn to apply models for business solutions, and gain hands-on experience in automation techniques.
Llama 2 Explained - Safety and Ethical Considerations - Part 3
Explore Llama V2's safety features in this concluding session. Gain insights into Meta AI's latest language model iteration and its focus on secure AI development.
Empowering Responsible Use of Large Language Models
Explore watermarking techniques for text and models to identify AI-generated content and protect LLM intellectual property. Learn theoretical foundations and empirical evidence for responsible AI use.
Generative AI Based on Transformer Neural Networks - Fundamentals, Implications and Trends
Explore fundamentals, implications, and trends of generative AI using transformer neural networks in this comprehensive Stanford Otolaryngology grand round.
The Centralization of Power in AI - MLOps Podcast Episode 181
Explore AI power centralization, language limitations, and open-source initiatives. Gain insights on AI transparency, accountability, and the evolving landscape of machine learning frameworks.
Open Problems in European Artificial Intelligence
Explore open challenges in European AI with Prof. Schölkopf, delving into cutting-edge research and future directions in the field.
Understanding and Mitigating Loss of Control in AI Systems
Explore AI control challenges and mitigation strategies with Professor Yoshua Bengio's keynote on understanding and addressing potential loss of control in artificial intelligence.
The Revolution of Small Language Models - Phi-2 and the Future of AI
Explore the revolutionary Phi-2 small language model, its efficient performance, and impact on AI development. Uncover the evolution, applications, and future of compact language models.
Reducing Hallucinations in Conversational Systems
Discover effective strategies for minimizing AI hallucinations through prompt engineering techniques, ethical considerations, and bias mitigation in large language models.
AI Ethics: From Theory to Practice - A Guide to Responsible Implementation
Explore practical approaches to AI ethics, from global landscape and regulatory frameworks to implementing ethical innovation in real-world data science applications.
Three Categories of Rogue AI and How to Mitigate Risk
Discover essential strategies for identifying and defending against three types of rogue AI behaviors, including practical implementation of OWASP guidelines and Zero Trust frameworks for secure AI deployment.
Trustworthy AI: Advanced AI Risk Evaluation and Mitigation - Session 113
Master advanced AI risk evaluation using Azure AI's responsible tooling, including Content Safety and Azure AI Foundry features for safer AI deployment and monitoring.
Essential Framework for Azure AI Customer Adoption - Session 135
Discover Microsoft's proven framework for successful Azure AI adoption, featuring trustworthy practices, developer tools, and scalable solutions for over 60,000 customers in the AI-driven landscape.
Principles for AI Systems and Practices - Growth, Values, and Security
Discover the fundamental principles of AI systems, focusing on growth, values, and security in a clear, jargon-free exploration suitable for all knowledge levels.
Principles for AI Systems and Practices - Accountability, Transparency and Trust
Discover the fundamental principles of AI systems, focusing on accountability, transparency, and trust through a clear, jargon-free exploration of these essential concepts.
Implementing AI Responsibly and Securely - Session BRK358
Discover practical strategies and real-world examples for implementing AI solutions with a focus on ethics, security, and scalability in enterprise environments. Learn from industry experts about overcoming challenges and ensuring responsible AI deployme…