Fairness in AI Courses and Certifications

Fairness in Machine Learning: Tasks, Experiences, and Performance Measures

Explore fairness in machine learning, focusing on risk assessment tasks, data representation challenges, and performance measures. Learn about new findings and alternative approaches to promote equitable AI systems.

• YouTube
• 1 hour 10 minutes
• On-Demand
• Free Video

Tech On the Go: Ethics in AI

286 ratings at LinkedIn Learning

Learn about the fundamentals of ethics in AI. Explore ways to operationalize responsible AI in daily organizational practice.

• LinkedIn Learning
• 40 minutes
• On-Demand
• Free Trial Available

Alexander Amini;  MIT

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.

• YouTube
• 43 minutes
• On-Demand
• Free Video

Simons Institute

What is Your Data Worth? Equitable Data Valuation in Machine Learning

Explore equitable data valuation in machine learning, focusing on Data Shapley Value and its applications in healthcare, face recognition, and NLP.

• YouTube
• 44 minutes
• On-Demand
• Free Video

Simons Institute

Algorithmic Decision Making and the Cost of Fairness

Explore algorithmic decision-making in pre-trial settings, examining bias identification, fairness concerns, and the trade-offs between accuracy and equity in automated systems.

• YouTube
• 39 minutes
• On-Demand
• Free Video

Simons Institute

Privacy and Fairness in Collaborative AI

Explore information-theoretic approaches to enhance privacy and fairness in collaborative AI systems, focusing on trustworthy machine learning techniques.

• YouTube
• 33 minutes
• On-Demand
• Free Video

NDC Conferences

An AI with an Agenda

Explore common biases in AI development and learn practical steps to create more objective and ethical algorithms, ensuring better decision-making in AI-assisted systems.

• YouTube
• 49 minutes
• On-Demand
• Conference Talk

Mitigating Bias in Models with SHAP and Fairlearn

Learn techniques to identify and mitigate bias in machine learning models using SHAP and Fairlearn, enhancing fairness and transparency in AI systems.

• YouTube
• 42 minutes
• On-Demand
• Free Video

Flagging and Fixing Bias in Machine Learning

Explore techniques to identify and mitigate bias in machine learning models, enhancing fairness and accuracy in AI applications.

• YouTube
• 31 minutes
• On-Demand
• Free Video

Devoxx

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.

• YouTube
• 52 minutes
• On-Demand
• Conference Talk

Devoxx

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.

• YouTube
• 46 minutes
• On-Demand
• Conference Talk

CNCF [Cloud Native Computing Foundation]

Life is Not Fair, but Your ML Pipeline Can Be

Explore techniques to evaluate and enhance fairness in multi-cloud Kubeflow workflows, covering responsible AI, fairness aspects, and open-source tools for fair model learning and hyperparameter tuning.

• YouTube
• 28 minutes
• On-Demand
• Conference Talk

Association for Computing Machinery (ACM)

Building User Trust in Recommendations via Fairness and Explanations

Explore techniques to enhance user trust in recommender systems through fairness and explanations, addressing ethical concerns and promoting transparency in AI-driven decision-making.

• YouTube
• 27 minutes
• On-Demand
• Conference Talk

Strange Loop Conference

Fight AI Bias With Bias

Explore techniques to de-bias datasets and build fair, equitable AI systems. Learn how to address biases, increase trust, and promote responsible AI practices for improved adoption and safety.

• YouTube
• 47 minutes
• On-Demand
• Conference Talk

Association for Computing Machinery (ACM)

Auditing Black-box Models

Learn techniques to audit and interpret complex machine learning models, focusing on detecting unintended dependencies and biases using a specialized software library through hands-on examples.

• YouTube
• 57 minutes
• On-Demand
• Conference Talk