Generative AI: safety and risks
Time: 10:30 - 13:30
Location: Keeley Street
- Course Code: CMART32
- Dates: 04/11/24 - 11/11/24
- Time: 10:30 - 13:30
- Taught: Mon, Daytime
- Duration: 2 sessions (over 2 weeks)
- Location: Keeley Street
- Tutor: Vina Theodorakopoulou
Course Code: CMART32
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?
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What will we cover?
This course delves into the risks inherent in generative AI systems. We will present business model risks, inaccuracies in AI-generated content, data security and privacy concerns. Engaging in a debate about the dynamic landscape of AI safety and risk management will empower participants to stay ahead of the curve and make informed decisions.
What will I achieve?
By the end of this course you should be able to...
Understanding Generative AI Risks
Explore the potential pitfalls of generative AI
Identify vulnerabilities and challenges
Ethical Safeguards
Address ethical dilemmas related to generative AI
Implement fairness and transparency measures
Risk Mitigation Strategies:
Develop risk assessment frameworks
Implement security protocols
Case Studies and Real-World Examples:
Analyse instances of generative AI risks in practice.
What level is the course and do I need any particular skills?
- Navigate generative AI’s complexities
- Make a contribution towards mitigating risks effectively
- Foster responsible practices as generative AI continues to evolve.
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 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.