Your company may be looking into Artificial Intelligence (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 verify customer Identifictaions (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 legal knowledge and sufficient technical understanding 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 AI solution. The course will also address the principles and recommended actions in the second version of the Model AI Governance Framework and the Model AI Governance Framework for Generative AI, published by Singapore’s Infocomm Media Development Authority (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.

This course includes an optional, complementary session for those who may benefit from a deeper understanding of relevant technical aspects of AI for procurement. The technical foundation will help in assessing risks and clarify how to separate contractual clauses for common software versus AI software, so we recommend that participants attend both parts of this course.

This course is an extension of our Deep Learning Essentials course.

Who should attend?

• In-house counsels, contract managers, and anyone involved in procuring AI solutions

Course Details

Course Code:	AI201
Title:	What to look out for when procuring an AI Solution – Legal and Technology Essentials
Course Duration:	Technology Essentials: (Approximately 4 hours) Legal Essentials: (Approximately 4 hours)
Mode of Training:	In-person
Date:	Date on Inquiry (DOI)
Time:	Technology Essentials: 9.00 am – 1.00 pm (SGT) Legal Essentials: 2.00 pm – 6.00pm (SGT)
Venue:	Drew & Napier LLC, 10 Collyer Quay, 10th Floor, Ocean Financial Centre, Singapore 049315
Course Fee:	Technology Essentials: S$200.00 (excluding GST) Legal Essentials: S$300 (excluding GST)

Course Outline

Technology Essentials

1. Gain a working understanding of AI technology:

1. Core aspects of AI technology.
2. Engineering perspective on “artificial intelligence” in terms of coding as well as similarities and differences to non-AI technologies.
3. Clarity and de-mystifying critical terminology.
4. Foundations and peculiarities of Large Language Models (LLMs) versus ‘traditional AI’.
5. Approaches to customisation of natural language GenAI systems and foundational models, e.g., through “fine-tuning” and “Retrieval-Augmented Generation (RAG)”.

Legal Essentials

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

1. What is ‘AI’ as defined in Singapore’s laws and guidance materials – does the technology you are using fall within this definition.
2. Deployer’s legal obligations under Singapore’s laws like the Personal Data Protection Act 2012.
3. Recommended actions for deployers, based on the Model Artificial Intelligence Governance Frameworks for traditional AI and generative AI, and other key regulatory documents.
4. 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. Gain awareness of the current legal issues and risks surrounding the use of generative AI solutions and what steps the industry is taking to mitigate these risks: 

1. Some of the issues we will explore include training AI models on copyrighted materials, and who is liable for AI-generated output where it is false, defamatory, or toxic, or Intellectual Property (IP)-infringing.
2. The industry solutions to mitigate the risks also find their way into contracts between developers and deployers.  

4.  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, IP ownership, 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.

Course Facilitators

Cheryl Seah   Director, Corporate & Finance

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