Your company may be looking into AI solutions – whether it is to harness generative AI to create reports, marketing material, etc., or use AI technologies to make recommendations, analyse patterns in data, or scan customer IDs – and you may be required to assist in negotiations with/vet the contracts from a vendor who will either customise an existing solution or create a bespoke AI system for you, or sell you an off-the-shelf solution.
 
This course aims to equip you with both the technical understanding and legal knowledge so that you are in a better position to frame questions to your vendor (and understand their responses), co-ordinate with your technical teams, and negotiate your contract, so that your company’s rights are protected and that you get the right solution. The course will also address the principles/recommended actions in the Model AI Governance Framework and the Model Generative AI Governance Framework published by Singapore’s IMDA, which helps you to ensure that your company’s AI solution is in line with these guidelines. Where appropriate, we will draw parallels to international AI regulations and guidelines as well.

There are 3 learning outcomes for this half-day course:

1. Gain a working understanding of the technology:

1. Engineering perspective about “artificial intelligence” in terms of coding as well as similarities and differences to other technologies.
2. Clarity in critical terminology around  “machine learning” in terms of “model”, “algorithm”, “code”, “weights”, “neuron”, “neutral networks”, “generative”, “probabilistic”, “determinative” etc.
3. Foundations of  large language models (LLMs), and how AI systems can be customised e.g. in terms of “fine-tuning” and “retrieval-augmented generation”

2. Have a clear picture of your obligations/recommended actions as a deployer of an AI solution:

1. Deployer’s legal obligations under Singapore’s laws like the Personal Data Protection Act 2012.
2. Recommended actions for developers, based on the Model Artificial Intelligence Governance Frameworks for traditional AI and generative AI, and other key regulatory documents.
3. With an understanding of the duties you must discharge, the next step of what to ask of the developer/vendor to assist you in discharging your duties

3. Know what key terms to look out for when reviewing contracts for AI solutions and how to amend them to suit your company’s needs:

1. Review of sample contract clauses, such as clauses relating to indemnities for IP infringement, bias, testing and documentation;
2. The sample clauses will also be discussed in light of the principles/recommendations contained in the Model AI Governance Frameworks, AI Verify, etc., so that they are localised to Singapore.

Who should attend?

This course is ideal for in-house counsels, as they may be called upon to review contracts or carry out negotiations relating to AI technology.

Course Details

Course Code:	AI201
Course Title:	What to look out for when procuring an AI Solution – Legal and Technology Essentials
Duration:	Half day (approximately 4 contact hours)
Mode of Training:	In-person
Date:	15 May 2024
Time:	9.00am - 1.00pm (SGT)
Venue:	10 Collyer Quay, 10th Floor Ocean Financial Centre, Singapore 049315
Course Fee (No funding availability at present.):	S$40.00 (excluding GST)
Modes of Payment:	We accept payment via bank transfer or cheque.

You may register for this course and view all available courses on our course schedule page (www.drewnapier.com/Academy/Course-Schedule).

Course Outline

• What is AI
  • Examining legal and technical definitions
  • Learning how an AI system is trained
  • Explaining common terms
• Overview of AI regulation in Singapore
• Explaining LLMs and how they are customised
• Procuring an AI solution
  • Various forms of third-party vendor involvement
  • Parties in the AI ecosystem
  • Obligations on and recommended actions for deployers of AI systems
  • Discussion of key contractual clauses

Course Facilitators

Cheryl Seah   Director, Corporate & Finance

Albert Pichlmaier  Senior Cybersecurity and Privacy Engineer Senior Learning Technology Designer, Drew Data Protection & Cybersecurity Academy