Artificial Intelligence - The Future of Medicine and Health Care Is Here
Explore AI's transformative impact on healthcare through Stanford Medicine's innovations, including automated transcription and augmented reality in surgery, guided by responsible AI principles.
Taking Aim at Bias in AI - Workshop Sessions
Explore strategies to identify and mitigate bias in AI systems, enhancing fairness and ethical decision-making in machine learning applications.
Security Audits for Machine Learning Attacks
Explore common machine learning security attacks and learn effective remediation strategies to protect your models from harmful outcomes and data exposure. Enhance your organization's security practices.
Applying Responsible AI with the Open-Source LangTest Library
Explore open-source tools for building safe, fair AI models. Learn to address robustness, bias, and data leakage challenges using the LangTest library in MLOps workflows.
Innovating Responsibly with AI: Minimizing Risks and Maximizing Opportunities
Explore Adobe's blueprint for responsible AI innovation, gaining insights to develop your organization's strategy for maximizing opportunities while minimizing risks.
How MLOps Tools Will Need to Adapt to Responsible and Ethical AI - Stay Ahead of the Curve
Explore ethical AI guardrails for MLOps platforms, focusing on GDPR compliance, data privacy, and future regulatory requirements. Learn to implement responsible AI practices in machine learning operations.
MLOps for Fairness - Creating Comprehensive Fairness Workflows
Explore MLOps techniques for identifying, measuring, and mitigating bias in ML systems at scale. Learn to create comprehensive fairness workflows using Python tools for industry-level challenges.
What's New in Gemma 2: Empowering AI Development
Discover the latest innovations in Gemma 2, Google's open AI model, and learn how to leverage its capabilities for responsible AI development and research.
Building Responsibly With Llama - Ethical Approaches to GenAI Safety
Explore the evolution of AI ethics and Meta's approach to GenAI safety, focusing on responsible development and deployment of Llama models.
Live Responsible AI Dashboard: One-Stop Shop for Operationalizing RAI in Practice - Episode 43
Explore the Responsible AI Dashboard, a comprehensive toolkit for ethical machine learning development. Learn about model debugging, fairness assessment, and responsible decision-making in AI systems.
Build Responsible AI Using Error Analysis Toolkit
Explore Microsoft's Error Analysis toolkit for responsible AI, identifying model errors, diagnosing root causes, and building reliable solutions through interpretability, fairness, and debugging techniques.
Microsoft Build 2022 Recap - Azure ML, Managed Endpoints, Responsible AI, and Power Virtual Agents
Comprehensive recap of Microsoft Build 2022, covering Azure ML updates, managed online endpoints, responsible AI, and Power Virtual Agents. Features demos and expert insights on latest AI technologies and tools.
Global AI Developer Days - Exploring AI Possibilities and Innovations
Inspiring keynotes from industry leaders on AI development, covering responsible AI, product announcements, and MLOps. Explore AI skills, Azure innovations, and the future of AI with expert panels and discussions.
A Quick Guide to Machine Learning
Explore foundational machine learning concepts and their practical applications using Visual Studio Code. Learn through demos, model training, and discussions on responsible AI.
Building Responsible AI - Best Practices Across the Product Development Lifecycle
Learn best practices for integrating responsible AI principles throughout the product development lifecycle, focusing on fairness assessment and practical implementation strategies.
A Sociotechnical Approach to a Safe, Responsible AI Future: A Path for Science and Evidence-based AI Alignment and Trust
Explore key challenges and solutions in AI safety, including alignment, trust, and copyright issues in large language models, with insights from UC Berkeley's research perspective.
Artificial Intelligence - A Universal Tool? Limits and Considerations
Explore the potential and limitations of AI as a universal problem-solving tool with Professor Dirk Helbing. Gain insights into complex dynamic systems and alternative approaches to addressing world problems.
Pre-training and Fine-tuning of Code Generation Models
探索代码生成模型的构建过程，包括StarCoder的训练、负责任的AI实践，以及如何利用开源库来部署和使用这些强大的模型。
Resistere all'Inevitabile - Il Nostro Controllo sulla Tecnologia
Sviluppare un pensiero critico sull'intelligenza artificiale per creare una società in cui la tecnologia migliori le condizioni per tutti, evitando sensazionalismi e imitazioni dei nostri limiti.
Tutto ciò che vive ha un orizzonte - Comprendere il rapporto con l'intelligenza artificiale
Sviluppare un pensiero critico sull'intelligenza artificiale per creare tecnologie che migliorino la società, evitando sensazionalismi e imitazioni dei nostri limiti.
Intelligence Artificielle - Un Labyrinthe Juridique
Exploration des implications juridiques et éthiques de l'IA dans notre quotidien, abordant la responsabilité, la confidentialité et la propriété intellectuelle pour une utilisation responsable.