UNIT: ETHICAL FRAMEWORKS OF AI

PART 1: Understanding the Foundation

1.1 What are Frameworks?

A framework is a structured plan or roadmap designed to solve complex problems. It ensures actions are aligned with specific goals and values.

The House Analogy:

Just like building a house requires a proper plan before construction begins, AI development also needs structured guidelines to ensure stability and responsibility. Without a framework, AI systems may cause harm or fail to meet societal needs.

1.2 Defining an Ethical Framework

An Ethical Framework refers to a system of principles and guidelines that helps determine right from wrong and guides moral decision-making.

• Purpose in AI: Ensures fairness, privacy, accountability, and transparency.

PART 2: The Need for Ethical Frameworks

2.1 Why Are They Crucial?

1. Fairness and Unbiased AI

• AI may inherit bias from training data.
• Goal: Prevent discrimination and inequality.

2. Transparency and Explainability

• AI decisions should be understandable.
• Goal: Build trust by explaining decisions clearly.

3. Privacy and Data Security

• AI processes personal data.
• Goal: Protect users from misuse of sensitive information.

4. Accountability

• Clear responsibility must be established if harm occurs.

5. Trust and Public Acceptance

• Ethical AI builds public confidence and social acceptance.

PART 3: Core Components of Ethical AI Framework

3.1 Principles (Core Values)

• Fairness: Remove bias and discrimination.
• Transparency: Clear data usage explanation.
• Privacy & Security: Protect sensitive information.
• Safety: Ensure reliable and risk-free operation.

3.2 Guidelines

• Value Alignment with human morality.
• No Misuse (e.g., deepfake prevention).
• Strict Data Law compliance.

3.3 Assessment Tools

• Impact assessments
• Ethical audits

3.4 Governance Mechanisms

• Ethics review boards
• Regulatory oversight

PART 4: Types of Ethical Frameworks

4.1 Sector-Based Frameworks

• Bioethics: Ethical principles in healthcare and biology.

4.2 Value-Based Frameworks

• Consequentialism: Focus on outcomes.
• Utilitarianism: Maximize overall well-being.
• Deontological Ethics: Duty-based morality.
• Virtue Ethics: Focus on character and intentions.
• Human-Centred AI: Prioritizes human values and empathy.

PART 5: Bioethics — A Specialized Framework

5.1 What is Bioethics?

Bioethics studies right and wrong in medicine and biological sciences.

5.2 Four Principles of Bioethics

• Autonomy: Respect patient decision-making.
• Beneficence: Promote well-being.
• Non-Maleficence: Do no harm.
• Justice: Ensure fairness and equality.