‘Artificial Intelligence – The Practical Legal Issues’ by John Buyers
Published: June 2018
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Artificial Intelligence is a rapidly evolving technology which is surrounded by hype, misinformation and hysteria, with very little cogent or helpful written to aid the practitioners. If you are lost and need clear direction, ‘Artificial Intelligence – The Practical Legal Issues’ will guide you through the implications and structure of existing AI technologies and provide a practical and easily digestible path to the real issues that you need to consider as a legal practitioner.
The book provides a grounding of what differentiates artificially intelligent systems from traditional technology and explains the differences between AI, Machine Learning and Deep Learning as well as other AI concepts such as neural networks. Understanding what AI systems can and cannot do is also essential to developing a clear legal awareness of the technology. From these introductory foundations, you’ll learn how the deployment of AI technology creates issues and risks that need to be considered carefully and that permeate across causation, intellectual property ownership, confidentiality and data protection, recruitment and even criminal law. In each case the author will suggest practical approaches to solving and mitigating such risks and will show how current liability frameworks need to be adapted to accommodate these risks.
ABOUT THE AUTHOR
John Buyers is a commercial solicitor and partner at Osborne Clarke LLP, an international law firm which specialises in advising high technology or digital business based clients. John manages the UK commercial team and leads Osborne Clarke’s international Artificial Intelligence group. He is a frequent commentator on the topic of Artificial Intelligence and the law and speaks regularly both in the UK and internationally on the subject.
John’s practice is largely based on transactional IT and outsourcing in the Financial Services sector with a banking and insurance focus. He regularly advises users and suppliers of Artificial Intelligence based systems. John recently concluded a major Asian based financial services outsourcing deal for a global bank which deployed AI technology to verify customer documentation and is currently advising a leading edge provider of an innovative machine learning based insurance risk optimisation tool.
Chapter One – An Introduction to Artificially Intelligent Systems
Chapter Two – Causation and Artificial Intelligence
Chapter Three – Big Data and Artificial Intelligence
Chapter Four – Intellectual Property Rights in AI Systems
Chapter Five – Automated Bias and Discrimination
Chapter Six – AI Crime: Commission and Judgment
Chapter Seven – Market Distorting Effects: AI and Competition Law
Chapter Eight – Sector Specific Considerations
i. Lifesciences, Medicine & Healthcare
ii. Retail & Consumer
iii. Financial Services
v. Energy and Utilities
vi.Infrastructure and the Built Environment
Chapter Nine – Robotic Process Outsourcing and Artificial Intelligence as a Service (AiaaA)
Chapter Ten – Artificial Intelligence and Corporate Law
Chapter Eleven – Managing Machine Learning Systems on a Practical Basis