Ethics

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Learn the fundamentals of AI ethics and how to apply ethical principles in the conversational AI workflow. Explore real-world dilemmas, prevent harmful outcomes, and implement Fairness, Accountability, Sustainability, and Transparency (FAST) principles to create ethical, responsible AI experiences.

The Ethics course is designed to help professionals integrate ethical principles into AI workflows and make informed decisions when facing ethical challenges. From fairness and accountability to transparency and sustainability, this course provides tangible examples and practical strategies to prevent unintended consequences in AI interactions.

You'll explore key ethical considerations in conversation design, understand where potential risks lie within the workflow, and learn how to apply the FAST track principles to ensure your AI solutions align with ethical best practices. Whether you’re a designer, developer, or business leader, this course equips you with the knowledge and tools to build AI assistants that are responsible, fair, and socially conscious.

Why AI ethics matter – Understand the importance and consequences of ethical principles in AI.
Ethical considerations in conversational AI – Identify risks and responsibilities unique to conversation design.
FAST track principles – Implement Fairness, Accountability, Sustainability, and Transparency to ensure ethical AI projects.
Ethical challenges in the workflow – Learn how to identify and address ethical dilemmas at different stages of AI design.
Critical points for ethical decision-making – Recognize moments where targeted ethical considerations are crucial for AI’s social impact.

In 2018, Hans co-founded the Conversation Design Institute to establish processes, techniques, and organizational standards to professionalize the role of conversation design within large enterprises.

Hans also sits upon the board of CDI Foundation, which is focused on undertaking research, education and industry development, along with providing scholarships to help people from underrepresented and disadvantaged backgrounds enter the CAI industry.