Fairness in AI Courses and Certifications

Deep Learning Essentials

Explore fundamental concepts of deep learning, including neural networks, convolutional and recurrent architectures, and their applications in various industries. Gain insights into fairness and bias in machine learning.

• edX
• 5 weeks, 4-6 hours/week
• Self-Paced
• Free Online Course (Audit)

Bias and Discrimination in AI

Explore bias and discrimination in AI, covering types, fairness metrics, affected fields, and mitigation strategies. Learn from experts about ethical challenges in machine learning and algorithm design.

• edX
• 4 weeks, 4-6 hours/week
• Self-Paced
• Free Online Course (Audit)

Ethics and Governance in the Age of Generative AI

Explore ethical and technical aspects of generative AI, including responsible development, bias reduction, and governance strategies. Gain insights into AI model deployment and societal impacts.

• Coursera
• 1 day 2 hours 43 minutes
• Self-Paced
• Paid Course

Coursera

Optimize and Deploy Edge AI Models

Master edge AI deployment by evaluating ML models with TensorFlow Lite, analyzing data slices for fairness, and optimizing quantization trade-offs for reliable real-world performance.

• Coursera
• 1 hour 27 minutes
• Self-Paced
• Paid Course

Race, Technology, and Algorithmic Bias - Vision and Justice

3 ratings

Explore the intersection of race, technology, and algorithmic bias with experts discussing AI's limitations in recognizing dark-skinned faces and the role of arts in addressing these issues.

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

Intro to AI Ethics

3 ratings

Explore practical tools to guide the moral design of AI systems.

• Kaggle
• 4 hours
• Self-Paced
• Free Certificate

Alan Turing Institute

AI UK - Doing Better in Data Science – From Algorithmic Fairness to Diversity

Experts discuss responsible AI, diversity in data science, and creating fair, inclusive AI systems. Explore challenges and opportunities in algorithmic fairness, team diversity, and equitable AI access across society.

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

Data Science Conference

Governing AI Models with IBM Watsonx - Monitoring Fairness, Bias, and Drift

Master effective AI model governance strategies, focusing on LLM management, risk assessment, and ethical deployment using IBM Watsonx.ai and Watsonx.governance platforms for enhanced monitoring and bias control.

• YouTube
• 1 hour 8 minutes
• Self-Paced
• Free Video

Toronto Machine Learning Series (TMLS)

Testing HR Systems for Bias and Fairness in AI

Detect and prevent bias in AI HR systems through real-world lessons and practical techniques for fairness testing and risk mitigation.

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

UofU Data Science

Topics in Responsible AI - Ethics, Fairness, and Accountability

Explore the critical principles and practices of responsible artificial intelligence, examining ethical considerations and implementation strategies for AI development.

• YouTube
• 1 hour 22 minutes
• Self-Paced
• Free Video

Cooperative AI Foundation

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.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

Broad Institute

AI in Radiology: Pattern Detection, Fairness, and Clinical Applications - Lecture Series

Explore AI's ability to detect hidden patterns in X-ray images and its implications for radiologists. Delve into fairness considerations in chest X-ray diagnosis models and their potential impacts on clinical practice.

• YouTube
• 1 hour 34 minutes
• Self-Paced
• Free Video

The University of Chicago

Data Ethics and Privacy in AI: Understanding Challenges and Fairness

Explore critical ethical challenges in AI development, including data privacy, bias, security, and the need for transparent data practices in modern artificial intelligence systems.

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

Conf42

Addressing Privacy, Bias, and Fairness in AI Systems

Explore ethical AI development through privacy-preserving techniques, bias mitigation strategies, and compliance frameworks to build trustworthy machine learning systems.

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

Simons Institute

Accountable AI with ZKPs - Certifying Fairness and Explanations under Model Confidentiality

Discover how zero-knowledge proofs enable AI accountability by certifying fairness and explanations while maintaining model confidentiality in high-stakes applications.

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