Course overview
This course focuses on incorporating ethical AI principles into the systems design process and is taught using a multidisciplinary approach. The course features real-world case studies, first-person narratives, self-reflection worksheets and hands-on coding exercises to maximise learner engagement and ensure they can immediately apply what they learn in their work or research context. The learning experience includes provocative thought experiments to challenge and stimulate understanding of ethical considerations in AI.
This course has been commissioned as part of our open funding call for Responsible AI courses, with funding from Accenture and the Alan Turing Institute.
Who is this course for?
This course is accessible for businesses, organisations or people developing, evaluating, or distributing AI. It has been developed to cater to people with different expertise levels, and requires a:
- Basic understanding of artificial intelligence
- Basic understanding of existing regulatory landscape
Learning outcomes
By the end of this course you will be able to:
- Demonstrate a general understanding of the concept of ethics and ethical theory in relation to transparency and fairness
- Describe the different conceptualisations of fairness and transparency
- Explain the intrinsic or instrumental value of these concepts
- Demonstrate an understanding of the algorithmic tools and technologies to accommodate fairness and transparency.
License
This course is released under a CC BY 4.0 license.
Materials can also be found on GitHub.
