Course description
AI promises massive benefits from increased productivity to highly personalised user experience. However, it comes with significant legal, regulatory, and ethical challenges. For businesses operating across regions and jurisdictions, the global patchwork of laws and regulation presents an increasingly complex challenge.
Presented by Malcolm Dowden, this webinar highlights the practical issues that in-house counsel should focus on, providing a usable route-map to compliance.
Topics to be covered include assessing AI risk, key points and questions for supplier due diligence, how to secure appropriate contractual protection, how to accurately identify and manage intellectual property risks, and much more.
Upcoming start dates
Outcome / Qualification etc.
Training Course Content
Introduction
Artificial intelligence (AI) promises massive benefits from increased productivity to highly personalised user experience. However, it comes with significant legal, regulatory and ethical challenges. Alongside the EU AI Act’s focus on prohibited uses and the effective management of ’high risk‘ AI, in-house counsel must also get to grips with issues ranging from intellectual property infringements, confidentiality, data protection and legal privilege concerns, supplier due-diligence, hallucinations, bias and discrimination.
For businesses operating across regions and jurisdictions, the global patchwork of laws and regulation presents an increasingly complex challenge.
This webinar highlights the practical issues that in-house counsel should focus on, providing a usable route-map to compliance.
What You Will Learn
This webinar will cover the following:
- Assessing AI risk - unacceptable, high-risk, low or minimal?
- Key points and questions for supplier due diligence - sources of training data and risks of bias, discrimination and the risk of hallucination
- How can you secure appropriate contractual protection? - Warranties and indemnities
- How can you accurately identify and manage intellectual property risks?
- Does your proposed AI project come with confidentiality and legal privilege risks?
- How can you manage internal risks? - Prompts and other user interactions
- Can you meet transparency and explainability requirements?
- How does your AI project come with enhanced data protection risks? - Automated decision-making, employee monitoring, barriers to the exercise of data subject rights
- What are the key governance, reporting and monitoring obligations?
Expenses
MBL Seminars Limited
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