Legal Guidance and Research / Experts / Rachel Free
Rachel Free#7553
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Dr Rachel Free

CMS
Rachel Free is a partner at International law firm CMS and a UK and European patent attorney with an MSc in Artificial Intelligence and a DPhil in vision science. She is a member of the House of Lords all party parliamentary group on AI which advises parliamentarians about AI and an independent advisory board member of the University of Bath Centre for Doctoral Training on accountable, responsible, transparent AI.

Practice Area

Panel

  • Contributing Author

2 Contributions by Rachel Free

AI and IP: UK and EU law on training data, text and data mining, algorithms, system protection, AI outputs, authorship/inventorship, infringement and licensing
PRACTICE NOTES
AI and IP: UK and EU law on training data, text and data mining, algorithms, system protection, AI outputs, authorship/inventorship, infringement and licensing
This Practice Note sets out to clarify and explore the relationship between artificial intelligence (AI) (or machine learning) and IP. What is artificial intelligence? ‘Artificial intelligence’ describes a field of computing where machines are built to imitate human intellect - the capacities to perceive, analyse, learn, reason and draw inferences. AI has progressed from its 1950s origins to today’s highly adaptable and unprecedented form. Early thinking centred on systems encoded by developers with the know-how of human specialists, producing intricate decision trees that allowed non-experts to reach a desired outcome. A notable early instance was the Deep Blue system, engineered to trawl a data bank of possible chess moves, compiled by grandmasters, and, using the current board position, assess options and choose its next move. In more recent usage, ‘AI’ commonly refers to machine learning, where computers adjust and improve through exposure to data they encounter or are supplied. ‘Machine learning’ means learning from examples rather than having rules laid down by a...
IP
Fintech IP: protecting, managing and enforcing patents, trade marks, copyright, designs and trade secrets; open source, branding, AI impacts and practical steps
PRACTICE NOTES
Fintech IP: protecting, managing and enforcing patents, trade marks, copyright, designs and trade secrets; open source, branding, AI impacts and practical steps
This Practice Note considers IP issues specifically in relation to fintech. It addresses fintech and intangible assets, fintech IP strategy, copyright, open source software, brand protection, trade secrets, the impact of artificial intelligence (AI), and practical steps. Fintech refers to technology applied to financial services and can encompass, for instance: software for electronic payments using conventional currency, such as software implementing protocols for atomicity, consistency, isolation and durability (ACID) transactions (with ‘ACID’ describing a set of transaction properties) software facilitating transactions via a blockchain distributed ledger quantum hardware and software enabling ‘quantum money’ trained machine learning systems for automated lending decisions for consumers or businesses trained machine learning systems supporting pension fund management software driving automated trading of securities and/or derivatives software a business uses to automate price setting of its goods or services in specific markets autonomous, rule-based tools offering financial advice to individuals trained machine learning software for anti-money laundering enforcement Multiple forms of IP protection may apply to fintech, including patents, trade marks, copyright, designs and trade secrets. Among these, ...
IP
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