ALB Deploying Artificial Intelligence (AI) In Global Business:
Legal, Regulatory And Ethical Risk Management (Tokyo)

17 April 2024, Wednesday
9.00am to 5.00pm (Tokyo Time) GMT +9

Venue: TBC

     

Overview
GCs, CISOs and boards are increasingly likely to be presented with the promise of transformational opportunities through the deployment of AI. From algorithms to data analysis, AI is helping create efficient and smarter systems. Innovative technologies like generative AI and natural language processing are improving the way we do business. However, those potential benefits come with significant risk and compliance issues. Before giving the green light to any AI project, it is essential to understand and manage inherent risks such as bias and discrimination and also the associated compliance risks stemming from data protection, privacy, commercial confidentiality and intellectual property laws.

ALB Deploying Artificial Intelligence (AI) In Global Business is a face-to-face workshop that explores the interaction of those legal and regulatory risks and provide you with a roadmap for risk assessment and management. It will examine existing and developing approaches to AI regulation including the US Executive Order of 31 October 2023, the EU’s AI Act and the G7 AI Principles together with governance frameworks such as Singapore’s AI verify. It will also cover the impact of key data protection laws including GDPR, China’s Data Security Law and PIPL and India’s DPDP Act. Finally, it will look at incidental and possibly unforeseen risks stemming from intellectual property infringements to loss of commercial confidentiality and “hallucinations” in generative AI.

Target Audience

  • General Counsel
  • CLO (Chief Legal Officer)
  • Head of Legal, VP Legal, Head of Compliance, Legal Director
  • Ethics and Compliance Officers
  • CISOs, CTOs and information security directors

ALB Deploying Artificial Intelligence (AI) In Global Business:
Legal, Regulatory And Ethical Risk Management (Tokyo)

17 April 2024, Wednesday
9.00am to 5.00pm (Tokyo Time) GMT +9

Venue: TBC

     

Agenda

Time

Topic

9.00am

Understanding the global regulatory landscape
Emerging legal and regulatory approaches to AI: law, regulation or voluntary framework?

10.00am

Decision-making through AI: understanding and managing the risk of bias, discrimination and inaccuracy
Practical case studies to explore data preparation and management strategies to address risk from initial conception to design and release. Who are the relevant stakeholders? How do we strike the balance between AI and human engagement? 

10.45am

Tea Break

11.15am

Generative AI: understanding and managing the risk of “hallucination” and reputational damage
Practical cases studies on due diligence, monitoring performance and securing adequate assurances and contractual protections from service and data providers.

12.15pm

Lunch

1.15pm

Data protection, privacy and confidentiality: how does AI deployment interact with the growing patchwork of privacy laws?
Exploring the legal risks of web-scraping and data harvesting to populate and train AI models. Practical case studies on due diligence and the limits of indemnity protection.

2.15pm

Intellectual property, confidentiality and AI deployment. What are the risks?
Discussion and examination of potential contractual provisions to protect against (i) service and data providers’ access to your organization’s confidential information, and (ii) your organization’s potential exposure to third party claims for IP infringement

3.15pm

Tea Break

3.30pm

The weakest link?
Case studies and recommendations for training your organization’s staff and contractors to understand and mitigate the risks of AI deployment.

4.15pm

Horizon scanning and compliance roadmap: what is the timeline for key global developments over the next 18-24 months?
Identifying and understanding key developments in global and regional AI regulation and governance requirements. Sectoral focus on financial service, insurance, trade and trade finance.

5.00pm

Summary and Q&A

5.15pm

End Of Workshop

ALB Deploying Artificial Intelligence (AI) In Global Business:
Legal, Regulatory And Ethical Risk Management (Tokyo)

17 April 2024, Wednesday
9.00am to 5.00pm (Tokyo Time) GMT +9

Venue: TBC

     

Speaker


 

Malcolm Dowden, Co-Head of Knowledge Management,
Squire Patton Boggs (UK) LLP
Malcolm Dowden is a member of the global data privacy, cybersecurity and digital assets team at Squire Patton Boggs (UK) LLP and Co-Head of Knowledge Management for the Firm. He is also an Associate Lecturer and Visiting Fellow at the University of Winchester, serving as module leader for the university’s multi-disciplinary course on Technology and Cyber Law.

Malcolm has more than 30 years’ experience of advising governments and commercial organisations on issues relating to technology, electronic communications, data protection and cybersecurity. Malcolm has, over the past decade, designed and delivered a number of successful ALB Masterclasses, including sessions on Blockchain, Distributed Ledger and Smart Contacts. His publications include the UK/EU chapter in The Law of Artificial Intelligence and Smart Machines (American Bar Association, 2019) and AI-related episodes of SPB’s podcast, Privacy World.

ALB Deploying Artificial Intelligence (AI) In Global Business:
Legal, Regulatory And Ethical Risk Management (Tokyo)

17 April 2024, Wednesday
9.00am to 5.00pm (Tokyo Time) GMT +9

Venue: TBC

     

Contact
Warren Tan: (65) 6793 6264 / warren.tan@tr.com

ALB Deploying Artificial Intelligence (AI) In Global Business:
Legal, Regulatory And Ethical Risk Management (Tokyo)

17 April 2024, Wednesday
9.00am to 5.00pm (Tokyo Time) GMT +9

Venue: TBC

     

Price
Standard Rate (plus 10% Sales Tax)
USD1,100 (USD1,000 + 10% Sales Tax)

Early Bird Rate (Register before 31st January 2024)
USD880 (USD800 + 10% Sales Tax)


Contact
Warren Tan: (65) 6793 6264 / warren.tan@tr.com

 

 

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