Understanding Ethics in AI

Course Dates: 12/02/25 - 19/02/25
Time: 14:00 - 17:00
Location: Hybrid (choose either online or in-person)
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.
This course will be delivered online or in person. See the ‘What is the course about?’ section in course details for more information.
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Full fee £129.00 Senior fee £103.00 Concession £84.00
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Understanding Ethics in AI
  • Course Code: CMART25
  • Dates: 12/02/25 - 19/02/25
  • Time: 14:00 - 17:00
  • Taught: Wed, Daytime
  • Duration: 2 sessions (over 2 weeks)
  • Location: Hybrid (choose either online or in-person)
  • Tutor: Vina Theodorakopoulou

Course Code: CMART25

Choose a start date  

Wed, day, 12 Feb - 19 Feb '25

Duration: 2 sessions (over 2 weeks)

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.

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.

You can choose to attend this course either live online or in person.
- Internet connection. The classes work best with Chrome.
- A computer with microphone and camera.
- Earphones/headphones/speakers.
We will contact you with joining instructions before your course starts.

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?

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.

Vina Theodorakopoulou Tutor Website

Vina Theodorakopoulou is a passionate advocate of the intersection of technology, business and society. With a rich background including a PhD in behavioural economics and 25 years in financial services, she wears many hats; social entrepreneur, podcaster and dedicated educator at CityLit. Vina believes in practices that not only shape the workplace of today but also pave the way for the workplace of tomorrow. Her active allyship for accessibility to digital skills, financial literacy and knowledge-sharing is at the core of nurturing belonging and mobilising progress across the society. When Vina is not teaching at CityLit [Ethics in AI, ESG, Cybersecurity in Business, History of Global Capitalism, Blockchain and Cryptocurrencies, Sustainability], she pens thought leadership articles on neurodiversity, the future of work and the strength of individual purpose for collective impact. In her spare time, she plays squash and coaches Kids First rugby, embodying her commitment to a well-rounded life that aligns with her values.

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.