What are the ethical implications of AI decision-making systems?

1. Accountability and Transparency

1.1 Defining Accountability

1.2 Transparency in Algorithms

1.3 Explainable AI (XAI)

1.4 Ethical Auditing

2. Bias and Fairness

2.1 Sources of Bias

2.2 Mitigating Bias

2.3 Impact on Marginalized Groups

2.4 Ongoing Monitoring

3. Privacy Concerns

3.1 Data Collection Practices

3.2 Consent and User Rights

3.3 Security of Personal Data

3.4 Regulatory Compliance

Review Questions

1. What are the primary ethical implications of AI decision-making systems?
The key implications include accountability and transparency, bias and fairness, and privacy concerns.
2. Why is transparency important in AI?
Transparency helps build trust and allows stakeholders to understand how decisions are made.
3. How can biases in AI be mitigated?
By implementing strategies to identify, reduce, and monitor biases in AI models.