Generative AI strategy and governance

Course Dates: 08/11/24 - 15/11/24
Time: 10:00 - 13:00
Location: Keeley Street
The Generative AI Strategy and Governance course will explore the strategic and ethical implications of generative AI adoption, focusing on responsible governance and effective strategies.
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Full fee £129.00 Senior fee £129.00 Concession £129.00
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Generative AI strategy and governance
  • Course Code: CMART34
  • Dates: 08/11/24 - 15/11/24
  • Time: 10:00 - 13:00
  • Taught: Fri, Daytime
  • Duration: 2 sessions (over 2 weeks)
  • Location: Keeley Street
  • Tutor: Vina Theodorakopoulou

Course Code: CMART34

Choose a start date  

Fri, day, 08 Nov - 15 Nov '24

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 explore the strategic implications of generative AI adoption, focusing on responsible governance and effective strategies. Delve into the transformative power of generative AI, address ethical considerations and governance frameworks. By the end of the course, you will be equipped to navigate generative AI’s complexities and contribute towards positive outcomes for your organisation.

What will we cover?

Module 1: Foundations of Generative AI

• Introduction to Generative AI:
- The basics of generative AI algorithms
- Use cases across industries
• Economics of AI:
- The value of data in deep learning
- The growing competition and implications of data harvesting

Module 2: Ethical Considerations

• Ethics in Generative AI:
- Ethical challenges related to generative AI
- Bias, fairness and transparency

• Responsible Data Handling:
- Biases within data
- User data and privacy

Module 3: Governance Strategies

• Building Responsible AI Governance:
- Effective governance frameworks
- Risk management practices

• Organisational Impact:
- AI’s role in change management
- Risks associated with AI processes.

Module 4: Future Trends and Applications

• Emerging Trends in Generative AI:
- Explore the latest developments.
- Discuss its impact on business models and innovation.

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

- Explore use cases of GenAI across various industries
- Address ethical challenges related to generative AI
- Outline effective governance strategies
- Contribute towards governance frameworks for responsible AI adoption.

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

This is a short introduction to AI Strategy and Governance 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.