Description
Join us for an in-depth exploration of the Information Commissioner’s Office’s (ICO) approach to AI and data protection. With AI rapidly advancing, it is critical that organisations consider how data protection principles apply to the use of personal data in AI systems.
This webinar will feature insights from a senior lawyer at the ICO, offering a detailed examination of how the ICO is addressing the complex challenges posed by AI technologies. We will discuss the types of risks that should be included in a Data Protection Impact Assessment (DPIA) when organisations are considering adopting an AI solution. We will also discuss some of the lessons learned from the ICO’s investigation into Snap’s “My AI” chatbot.
In addition, the session will cover the ICO’s ongoing GenAI calls for evidence, providing participants with an understanding of how the ICO is approaching AI regulation. Whether you are a legal professional, compliance officer, or tech enthusiast, this webinar will equip you with the knowledge needed to navigate AI’s intersection with data protection law.
Chair:
Matthew Nuding, Associate, Wilson Sonsini Goodrich & Rosati (WSGR)
Speaker:
Toby Spanton, Head of Legal (Data Privacy Advice), Information Commissioner’s Office (ICO)
Why attend?
This webinar will provide an unrivalled opportunity to take a deep dive into the ICO’s approach to regulating AI from a data protection perspective. The insights you will gain from the webinar will be crucial if you are planning to implement AI tools across your organisation.
Who should attend?
- Lawyers working in data, AI and cybersecurity (in private practice and in-house)
- Tech law academics and students
- Tech sector professionals & managers who need to understand the data protection challenges of AI solutions and tools
- Anyone interested in AI and data protection
This event is by SCL and organised by the SCL Privacy and Data Protection Group
Administration notes:
Fees to purchase the recording:
£35 + VAT (£42) for SCL members
£70 + VAT (£84) for non-members
To enquire about SCL membership and receive the discounted fee, please email hello@scl.org.
Booking terms and conditions:
Please refer to SCL’s full event terms and conditions here.
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