Tech Ethics: Building Responsible Technology
A practical course on ethical decision-making for software, AI, and digital products with Professor Victor Zane
Tech Ethics: Building Responsible Technology is a practical course on ethical decision-making for software, AI, and digital products with Professor Victor Zane. It helps you move beyond basic compliance and develop the judgment needed to create Technology that is safer, fairer, and more trustworthy.
Apply Ethical Thinking To Build Responsible Technology
- Learn how to identify ethical risks before they become costly product or reputational problems
- Compare legal compliance and ethical responsibility so you can make stronger decisions in real projects
- Use proven frameworks to assess trade-offs in data, AI, design, and platform governance
- Strengthen your ability to build inclusive, accountable Technology that earns user trust
A practical course on ethical decision-making for software, AI, and digital products with Professor Victor Zane, Tech Ethics.
This course gives you a clear foundation in Tech Ethics and shows why responsible thinking matters across the product lifecycle. You will explore how ethical choices shape Technology in areas like privacy, fairness, accessibility, security, and content moderation, while learning how to recognize when an issue is more than a legal checkbox.
Through structured lessons and real-world examples, you will examine core ethical frameworks and apply them to common challenges in digital systems. You will learn how harm can spread through stakeholders and power imbalances, how informed consent works in data-heavy environments, and how to evaluate the ethical risks of surveillance, persuasive design, and dark patterns. The course also covers algorithmic bias, AI accountability, and the responsibilities that come with machine learning and generative AI.
You will also build practical skills for ethical product management, governance, escalation, and communication with leaders and stakeholders. By the end, you will understand how to create repeatable checks that support responsible work, help teams build a stronger ethical culture, and make better decisions under pressure. After completing this course, you will be more confident in shaping Technology that reflects both innovation and responsibility.
Full lesson breakdown
Lessons are organized by topic area and each includes descriptive copy for search visibility and student clarity.
Foundations of ethical thinking in technology
1 lesson
Understanding where the law ends and ethics begins
1 lesson
Using principles to assess trade-offs
1 lesson
Who is affected and how impact spreads
1 lesson
Collecting, using, and sharing data responsibly
1 lesson
Designing for trust in data-heavy environments
1 lesson
Detecting and reducing unfair outcomes
1 lesson
Managing risk in machine learning and generative AI
1 lesson
Ethics in attention, choice, and interface design
1 lesson
Building products that work for more people
1 lesson
Preventing harm through robust systems
1 lesson
Balancing expression, safety, and scale
1 lesson
Making trade-offs in real projects
1 lesson
Creating repeatable checks for responsible work
1 lesson
Framing concerns clearly and credibly
1 lesson
Embedding responsibility in teams and organisations
1 lesson
Putting the framework to work on real scenarios
1 lesson
Sustaining good judgment in your own work
1 lesson
Professor Victor Zane
Professor Victor Zane guides this AI-built Virversity course with a clear, practical teaching style.