Ethical. Safe. Lawful.

A toolkit for artificial intelligence (AI) projects

Artificial intelligence is moving into the mainstream and raises a number of practical, legal and ethical challenges.

If you are looking to exploit this technology you need to address these issues, many of which are new and need new responses.

We have created a toolkit based on our experience of advising clients on these issues and rolling out artificial intelligence tools within Linklaters. It draws upon the expertise of lawyers across our practices and provides practical guidance on how to make your project a success. The toolkit looks at the position in the UK but the themes and issues discussed are relevant to any jurisdiction.

Download the AI toolkit. Alternatively scroll down to explore its contents.

Explore the Artificial Intelligence toolkit


Technical primer

  • What is artificial intelligence and how is it different to existing technology?
  • What is it really capable of?
  • How and why does it go wrong?

> Download our technical primer to walk you through the basics.


Collaboration & ownership

Artificial intelligence projects often call for collaboration between the tech experts and an industry partner. This requires careful structuring particularly in relation to the intellectual property rights generated by that collaboration. Moreover, industry partners should not underestimate the value their knowhow and data bring to that collaboration.

> Download the collaboration and ownership chapter.


Developing AI & data

Most of the advances in artificial intelligence have been fuelled by data. We look at how to get hold of data and the constraints on the use of that data, notably under confidentiality and data protection laws. The use of a sandbox can help in many cases.

> Download the developing AI & data chapter.


Liability & regulation

The aim of an artificially intelligent system is to be intelligent - to analyse, decide, and potentially act, with a degree of independence from its maker. This raises interesting issues particularly where the algorithm at the heart of that system has no common-sense safety valve.

So what regulatory controls are needed on this decision making and what is your liability if you get it wrong?

> Download the liability & regulation chapter.


Safe use

Artificially intelligent systems can be opaque and behave unpredictably. Supervision is important. You should put systems and controls in place to ensure that live use of artificial intelligence systems is safe. That might include the use of counterfactuals, sampling and circuit breakers.

> Download the safe use chapter.


AI in financial services

Artificial intelligence is used in a variety of financial contexts from the provision of robo-advice to trading decisions. Financial services firms must comply with both their broader regulatory obligations, and the specific controls in areas such as algorithmic trading. The use of artificial intelligence should also be factored into the firm’s overall risk management framework.

> Download the AI in Financial Services chapter.

Download: Ready to roll out artificial intelligence?

Use our checklist to confirm you are good to go.

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Read: Why we put together this toolkit

A note from the editor on why we wrote this guide.

artificial intelligence report linklaters


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