Ethical AI and Data Privacy: Master FATE Principles, Bias Mitigation, IP Ownership, and AI Security Risks
This course contains the use of artificial intelligence.
What you’ll learn
- Evaluate and Apply Core Ethical Frameworks.
- Analyze and Mitigate Algorithmic Bias.
- Implement Best Practices for Data Governance.
- Detect and Prevent Critical AI Security Risks.
Course Content
- Foundations of AI & Ethics –> 3 lectures • 22min.
- Bias, Fairness, & Social Impact –> 3 lectures • 21min.
- Privacy, Data, & IP –> 3 lectures • 22min.
- Safety, Security, & Truth –> 3 lectures • 25min.
- Future of Work & Agency –> 2 lectures • 16min.
- The Responsible User Toolkit –> 3 lectures • 21min.
Requirements
This course contains the use of artificial intelligence.
The rapid evolution of Artificial Intelligence (AI), particularly Generative AI, has created an urgent need for professionals who understand not just how AI systems work, but how to build, deploy, and use them responsibly. This comprehensive course is designed to equip you with the essential frameworks and practical skills to navigate the complex ethical and legal landscape of AI.
We begin by establishing the Foundations of AI & Ethics, demystifying “black box” systems, and anchoring our work in core ethical principles like the OECD/UNESCO guidelines and the FATE framework (Fairness, Accountability, Transparency, Explainability). You will learn how to identify and mitigate Bias, Fairness, & Social Impact issues, examining the roots of algorithmic bias in training data and analyzing real-world case studies in hiring, healthcare, and justice.
The course dives deep into Privacy, Data, & IP, covering critical topics such as data scraping, consent, the Right to be Forgotten, and modern regulations including the GDPR and the upcoming EU AI Act. We also address the complex ethics of Intellectual Property, examining the ownership of AI-generated art and code.
Next, you will tackle issues of Safety, Security, & Truth, developing skills to recognize deepfakes and disinformation. A major focus is on AI Security Risks, exploring prompt injection, jailbreaking, and data poisoning, and the critical requirements for maintaining human-in-the-loop oversight to ensure reliability and combat hallucinations. Finally, we explore the Future of Work & Agency, shifting the focus from automation to human augmentation and defining the boundaries for maintaining human agency in automated decision-making. By the end of this course, you will be equipped with a comprehensive Responsible User Toolkit for vetting AI apps, practicing responsible prompting, and leading advocacy and policy discussions in this transformative field. This course is essential for anyone aiming to be a responsible innovator and leader in the age of AI.