AI Ethics, Privacy, and the Rules of the Road

An honest exploration of bias, data privacy, intellectual property, deepfakes, and the evolving regulatory landscape — what every AI user and leader needs to think about.

About This Course

AI is powerful. That power comes with real risks and responsibilities. This course tackles the questions that most AI courses skip over.

We go deep on bias and fairness, data privacy, intellectual property, deepfakes and misinformation, workplace displacement, and the rapidly evolving regulatory landscape. This is not a doom-and-gloom session — it is an honest, balanced exploration designed to help you make informed decisions about how you use and deploy AI.

Whether you are an individual user, a business owner, or an organizational leader, understanding the ethical dimensions of AI is not optional — it is essential for responsible use and long-term success.

Who This Course Is For

Anyone who uses AI and wants to use it responsibly
Business owners concerned about liability and compliance
Leaders developing AI governance policies
Educators incorporating AI into their work
Citizens who want to be informed about AI's societal impact

What You Will Walk Away With

A practical framework for evaluating AI ethics in your own context, understanding of current and emerging AI regulations, an AI acceptable use policy template for your organization or personal practice, and the ability to identify and mitigate AI risks before they become problems.

What You'll Learn

Identify and explain the major ethical challenges in AI including bias, privacy, and transparency
Analyze real-world case studies of AI ethics failures and their consequences
Evaluate AI systems for potential bias using structured assessment methods
Understand current AI regulations and legislation across major jurisdictions
Navigate intellectual property questions around AI-generated content
Recognize deepfakes and synthetic media and understand their implications
Draft an AI acceptable use policy for your organization or personal practice
Apply an ethical decision-making framework to real AI deployment scenarios

Session Breakdown

Session 1: Bias, Fairness, and the Data Problem

Where AI bias comes from: training data reflects the world including its inequities
Case studies: hiring algorithms, facial recognition, healthcare AI, and criminal justice
Hands-on: Test AI tools for bias — run structured prompts and analyze the results
Types of bias: selection bias, measurement bias, representation bias, and feedback loops
Fairness is not one thing: competing definitions and tradeoffs
Mitigation strategies: what organizations and developers are doing to reduce bias
Your role as an AI user: recognizing and reporting bias

Session 2: Privacy, Intellectual Property, and Deepfakes

What happens to your data when you use AI tools — where it goes and who sees it
Data privacy regulations: current laws and emerging legislation
Intellectual property and AI: who owns AI-generated content?
Copyright questions: using copyrighted material as AI input and output
Hands-on: Audit the privacy policies of the AI tools you use
Deepfakes and synthetic media: how they work and how to detect them
Misinformation at scale: AI-generated content and its impact on trust
Practical strategies for verifying authenticity in an AI-generated world

Session 3: Regulation, Governance, and Your Action Plan

The global AI regulatory landscape: the EU AI Act, US executive orders, state laws
Industry-specific regulations: healthcare, finance, education, and hiring
Hands-on: Draft an AI acceptable use policy for your organization or personal practice
Workplace AI: employee monitoring, AI in hiring, and displacement concerns
Environmental impact of AI: energy consumption and sustainability
The AI ethics decision framework: a practical tool for everyday decisions
Building an ethical AI culture in your organization
Resources for staying current on AI ethics and regulation

Prerequisites

No technical background required. Basic familiarity with AI tools is helpful — completing any of the Foundations track courses first is recommended but not required.

What to Bring

A laptop or tablet with internet access. Bring any AI-related policies or guidelines your organization currently has, if applicable. We will work on real policy documents during the sessions.

$149

per person

No sessions currently scheduled

Bundle Discount

Save up to 30% when enrolling in multiple courses. Use code TRACK_30 for the full track.