Generative AI & Hiring: Legal Risks & Compliance

Welcome to "Generative AI & Hiring: Legal Risks & Compliance." This course provides a comprehensive overview of the complex legal and ethical landscape surrounding the integration of generative AI into recruitment and human resources. As AI reshapes hiring practices, understanding and mitigating associated risks becomes paramount for compliance and equitable outcomes.

Throughout this course, you will learn to navigate the foundational frameworks, legal precedents, and technical challenges of responsible AI deployment.

We will delve into:

• The NIST Artificial Intelligence Risk Management Framework, defining and measuring AI risk within organizational contexts.
• Core concepts of trustworthy AI, including validity, reliability, safety, security, accountability, explainability, privacy, and fairness.
• Diverse philosophical theories of fairness—deontological, consequentialist, and social contract—to guide ethical decision-making in AI systems.
• The technical landscape of algorithmic fairness, including metrics like Independence, Separation, and Sufficiency, and the impossibility theorems demonstrating their inherent trade-offs.
• Practical algorithmic bias-conducive factors in hiring, such as biased historical data, social networks, and technology blindspots.
• The operational pipeline of algorithmic hiring: Sourcing, Screening, Selection, and Evaluation.
• Specific legal frameworks in the United States (Title VII, ADA, FTC) and the European Union (GDPR, AI Act), differentiating between disparate treatment and disparate impact.
• The critical role of external auditing and the legal challenges of proving discrimination in 'black box' AI systems.
• Structural issues and power dynamics, including algorithmic monoculture, self-fulfilling predictions, and the impact of AI on worker agency.
• The ethical tensions between AI safety and fairness, considering the implications for current and future generations.

By the end of this course, you will be equipped to identify, assess, and manage the legal risks associated with generative AI in hiring, ensuring your organization adheres to compliance standards while fostering a truly equitable and responsible approach to talent acquisition.