AI Transparency Courses and Certifications

AI for Professionals: Ethics, Responsibility and Best Practices

The AI for Professionals: Ethics, Responsibility and Best Practices course aims to equip industry leaders and professionals with the knowledge and tools necessary to navigate the complex ethical landscape of AI technologies.

• edX
• 4 weeks, 1-2 hours/week
• Self-Paced
• Free Online Course (Audit)

Fred Hutchinson Cancer Center

Avoiding AI Harm

12 ratings at Coursera

Explore ethical considerations and mitigation strategies for responsible AI use and development. Learn from real-world examples to make informed decisions about AI implementation in various fields.

• Coursera
• 3 hours 12 minutes
• Self-Paced
• Paid Course

statistics.com

Principles of Data Science Ethics

Explore ethical considerations in data science, including bias, transparency, and legal issues. Learn frameworks and tools to build responsible AI models and mitigate unintended harm.

• edX
• 4 weeks, 4-5 hours/week
• Self-Paced
• Free Online Course

EDUCBA

Master Ethical AI: Analyze, Evaluate & Lead Responsibly

Explore AI ethics through real-world case studies, bias analysis, and regulatory frameworks to lead responsible AI initiatives and champion trustworthy innovation in your organization.

• Coursera
• 8 hours 47 minutes
• Self-Paced
• Paid Course

AWS Events

Accelerating End-to-End Supply Chain Transparency with AI/ML

Discover how to build automated AWS architectures for supply chain transparency, featuring PVH's implementation using AI/ML for document processing and end-to-end visibility.

• YouTube
• 39 minutes
• Self-Paced
• Free Video

Data Science Festival

Seeing the Unseen - AI, Ethics and the Future of Transparency

Explore AI ethics, transparency, and societal impact with expert panelists. Discuss emerging dilemmas, legislation, and user experiences in AI development and implementation.

• YouTube
• 1 hour 28 minutes
• Self-Paced
• Free Video

Conf42

U.S. Healthcare with AI: Cost Transparency and Affordability - Conf42 KN 2024

Explore AI-driven solutions for healthcare cost transparency, addressing challenges and showcasing an innovative platform's features, benefits, and future potential in the U.S. healthcare system.

• YouTube
• 18 minutes
• Self-Paced
• Free Video

Asia Open RAN Academy

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.

• YouTube
• 13 minutes
• Self-Paced
• Free Video

All Things Open

The Search for Transparency and Accountability in the Age of AI - RAI and XAI as Essential Tools

Explore responsible AI and explainable AI as crucial tools for building ethical, transparent, and trustworthy AI systems. Uncover their synergy in addressing fairness, accountability, and interpretability challenges.

• YouTube
• 40 minutes
• Self-Paced
• Free Video

Databricks

Tracking Data and AI Lineage - Ensuring Transparency and Compliance

Explore data and AI lineage advancements in Databricks Platform for transparency, compliance, and trust in model training, evaluation, and inference workflows.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

The Generative AI Commons: Unlocking Potential Through Collaboration and Transparency

Explore the Generative AI Commons initiative, focusing on open strategies, democratization, and ethical AI development through the Model Openness Framework and collaborative governance.

• YouTube
• 41 minutes
• Self-Paced
• Free Video

The Open Source Imperative in AI - Transparency, Governance, and Global Collaboration

Explore how open source drives AI transparency, governance, and global collaboration while addressing challenges in sustainability, legal complexities, and ethical development frameworks.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

OpenSSF

Securing the AI Lifecycle - Trust, Transparency and Tooling in Open Source

Discover how to build security into AI/ML pipelines using open source tools, standards, and practices for trusted, transparent, and resilient AI systems development.

• YouTube
• 51 minutes
• Self-Paced
• Free Video

NPTEL-NOC IITM

Explainable AI - Technical Explanation and Transparency in AI Systems

Discover the fundamentals of Explainable AI, exploring transparency techniques to demystify black-box algorithms and understand AI decision-making processes.

• YouTube
• 54 minutes
• Self-Paced
• Free Video

OpenSSF

Enabling Verifiable AI Transparency With Confidential Computing With ManaTEE

Discover how ManaTEE framework uses confidential computing and TEEs to enable secure, verifiable AI model evaluation while maintaining transparency and trust in proprietary systems.

• YouTube
• 18 minutes
• Self-Paced
• Free Video