Description

Introduction

As AI systems transition from reactive models to autonomous, goal-directed agents, the stakes for responsible design become significantly higher. Agentic AI systems, with their ability to plan, act, and adapt over time, raise novel ethical questions around control, intent, accountability, and societal impact. This course explores how to embed ethical principles into the development and deployment of agentic AI systems from the ground up.

Prerequisites

• Basic understanding of AI/ML and large language models (LLMs)

• Familiarity with AI design and development workflows

• Interest in technology ethics, governance, or policy

• Optional: Background in human-computer interaction or philosophy of AI

Table of Contents

1. Introduction to Agentic AI Ethics
1.1 What Makes Agentic AI Ethically Distinct
1.2 Agency, Autonomy, and Moral Responsibility
1.3 Frameworks for Evaluating Ethical AI Systems

2. Design Principles for Ethical Agentic Systems
2.1 Human-in-the-Loop and Human-on-the-Loop Models
2.2 Explainability, Interpretability, and Transparency
2.3 Alignment with User Intent and Organizational Values

3. Risks and Harms of Autonomous Agents
3.1 Hallucination, Deception, and Over-Delegation
3.2 Unintended Consequences and Emergent Behaviors
3.3 Dependency, Disempowerment, and User Misinformation

4. Governance, Consent, and Accountability
4.1 User Consent and Control Mechanisms
4.2 Traceability of Agent Decisions and Plans
4.3 Legal and Regulatory Responsibilities

5. Guardrails, Safety, and Failsafes
5.1 Ethical Constraints and Safety Boundaries
5.2 Content Filtering, Value Alignment, and Goal Constraints
5.3 Recovery Mechanisms and Agent Termination Triggers

6. Inclusive and Fair Design
6.1 Avoiding Bias in Agent Decision-Making
6.2 Culturally-Aware and Accessible Interactions
6.3 Democratizing Agent Access and Capabilities

7. Case Studies and Ethical Dilemmas
7.1 Agent Misalignment in Healthcare or Legal Settings
7.2 Surveillance vs. Assistance in Smart Environments
7.3 Conflicts of Interest in Commercial Agent Design

8. Building Ethical Agentic Systems in Practice
8.1 Toolkits for Responsible Agent Development
8.2 Ethics-By-Design Workflows and Documentation
8.3 Open Challenges and Research Frontiers

Agentic AI systems are redefining how technology interacts with humans and society, making ethics a critical design priority. By embedding safety, accountability, fairness, and transparency into the lifecycle of agentic AI development, we can ensure these powerful systems act as trusted partners. This course equips you with the tools to design and govern agentic AI responsibly—balancing innovation with human values.