Ethical AI and Responsible Machine Learning

Service Description

In a world increasingly driven by AI, Dr. Mitchell brings her expertise in AI ethics to help learners understand the moral, social, and legal considerations behind AI technology. With her extensive experience, Dr. Mitchell provides a balanced, insightful perspective on how to build responsible AI systems.
Primary Consultation:
Assess Your Background – Determine your current knowledge of AI ethics and relevant issues.
Discuss Ethical Concerns – Focus on your specific interests, such as fairness or accountability.
Develop a Focused Plan – Customized plan centered around ethical frameworks and practices.
Teach Decision-Making Skills – Practical methods to navigate ethical dilemmas.
Recommend Key Resources – Curated books, papers, and case studies.
Answer Questions – Dr. Mitchell will address any ethical questions or concerns you have.
Services:
Bias and Fairness in AI
This session addresses one of the most pressing issues in AI: bias. Dr. Mitchell will help you understand how bias infiltrates datasets and algorithms, leading to unfair outcomes. You’ll explore case studies on biased AI, learn strategies for detecting and mitigating bias, and discuss the ethical implications.
Transparency and Explainability in AI Models
Transparency is critical in building trust in AI systems. Dr. Mitchell will teach you how to make AI models more interpretable through techniques like SHAP values, LIME, and interpretable models. By using these tools, you’ll be able to explain model predictions in a clear, understandable way, essential for industries where AI decisions impact people’s lives.