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Understanding Ethics in AI

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This is a short introduction to Ethics in AI for non-technical beginners who aspire to drive responsible AI design and use. This course will enable you to strike a balance between the potential benefits and risks of AI technology.
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Learning modes and locations may be different depending on the course start date. Please check the location of your chosen course and read our guide to learning modes and locations to help you choose the right course for you.

  • Start Date: 02 Feb 2027
    End Date: 09 Feb 2027
    Tue (Evening): 18:00 - 21:00
    Online
    Location: Online
    Duration: 2 sessions (over 2 weeks)
    Course Code: CMART39
    Tutors:  Vina Theodorakopoulou
    Full fee £159.00 Senior fee £127.00 Concession £103.00
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Any questions? computing@citylit.ac.uk or call 020 4582 8438

Please note: We offer a wide variety of financial support to make courses affordable. Just visit our online Help Centre for more information on a range of topics including fees, online learning and FAQs.

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250421
Full fee £159.00 Senior fee £127.00 Concession £103.00
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What is the course about?

This course will teach you the importance of ethics in the production of AI to ensure the maximum benefit for its users, the wider sector and society.

What will we cover?

- AI Basics
What is AI? Explanation of key concepts.
The evolution of AI and its applications across industries.

- AI Strengths and Challenges
Discuss the strengths and challenges of AI, including its potential benefits and risks.

The Need for Ethics in AI
- Ethical Frameworks
Introduction to different ethical frameworks and how they apply to AI.

- Case Studies
Highlight ethical challenges and dilemmas in AI, such as bias in AI algorithms, privacy concerns, and job displacement.
Group discussion to analyse the ethical issues involved.

Responsible AI Decision-Making
- Ethical AI Design
Discuss the importance of incorporating ethics into AI development from the beginning. Present best practices for responsible AI design.
- Case Studies
Organisations taking a responsible approach to AI design and decision-making. Participants to discuss how these cases align with ethical principles.

Implementing Ethical AI
- AI Regulations and Guidelines
Explain current AI regulations and guidelines, including GDPR, and their implications for different industries.
- Practical Implementation
Discuss strategies for implementing ethical AI in students' respective industries.

What will I achieve?
By the end of this course you should be able to...

Explain what AI is, identify potential benefits and risks.
Outline the ethical dilemmas related to AI, present arguments in favour of alignment between AI decision-making and ethical principles.
Draft potential solutions. Strategise on how you can apply ethical principles in your professional roles/lives.

What level is the course and do I need any particular skills?

This is an introduction to Ethics in AI suitable for beginners. There are no pre-requisites.

How will I be taught, and will there be any work outside the class?

You will be taught step by step through using presentations, case studies, participating in debate with your peers and by completing practical exercises. There is no homework.

Are there any other costs? Is there anything I need to bring?

There are no additional costs.

When I've finished, what course can I do next?

City Lit offers a variety of progression courses in this subject area. Please click here to view all our courses in the Technology area.

Disclaimer: Use of Third-Party Software
This course might require you to either use your own personal account or create an account for the purposes of this course. City Lit cannot accept any responsibility for any failings of the third party or provide technical support. Whilst using the software you will be responsible for abiding by the providers terms and conditions and maintaining your own work. We recommend that you do not upload any sensitive personal data when using third party software for this course.

Vina Theodorakopoulou Tutor Website

Vina Theodorakopoulou teaches at the intersection of technology, business and society, helping learners connect big ideas on economics, innovation and human behaviour to real-world decisions and practical outcomes. With a background in financial and professional services and a PhD in behavioural economics, she brings practical insight into how decisions are made under uncertainty and how systems -from markets to organisations- affect everyday life and work. At City Lit, her courses span topics such as AI and ethics, global capitalism, innovation, sustainability and communication. Across all subjects, she focuses on connecting ideas to practice, encouraging learners to apply what they learn in meaningful and tangible ways. She has a strong interest in global cultures and communication, reflected in her teaching of languages and cultural forms, including Greek dance. She believes learning should open up new ways of thinking about work, culture and how we live — and offer practical value beyond the classroom.

Please note: We reserve the right to change our tutors from those advertised. This happens rarely, but if it does, we are unable to refund fees due to this. Our tutors may have different teaching styles; however we guarantee a consistent quality of teaching in all our courses.