Showing posts with label UK government. Show all posts
Showing posts with label UK government. Show all posts

Saturday, April 25, 2026

Artificial Intelligence and Copyright- Where Does the UK Stand?; The National Law Review, April 23, 2026

 Serena TotinoSimon CasinaderK&L Gates LLP , The National Law Review; Artificial Intelligence and Copyright- Where Does the UK Stand?

"The UK Government’s report on the copyright and AI consultation was recently published. While the report confirms that balancing the interests of copyrights holders and AI developers is a complex exercise, it also provides an indication of likely scenarios to consider in this fast-evolving environment.

The consultation focused on whether AI developers should be permitted to use copyright protected works for training purposes without prior authorisation and, if so, under what conditions...

Takeaways

Rights holders should continue to assess how their content is accessed and used, consider technical or contractual mechanisms for licensing and rights reservation.

AI developers should remain cautious when sourcing training data, ensure governance and record keeping processes are robust, and factor copyright risk into product development and deployment strategies."

Friday, June 15, 2018

The only way is ethics: UK.gov emphasises moral compass amid deluge of data plans; The Register, June 14, 2018

Rebecca Hill, The Register; The only way is ethics: UK.gov emphasises moral compass amid deluge of data plans

"The UK government has released a guide to help civil servants figure out how to use and procure data science tools ethically as public opinion on slurping continues to circle the drain...

The Data Ethics Framework is one of the ways the government hopes to demonstrate it is taking the issue of proper use of data seriously, aiming to act as a sanity check for civil servants who work with data, either directly or indirectly.

The idea is for the framework to act as a guide to the limitations of data and data science; it sets out questions and issues to consider, such as bias or errors in data sets, algorithmic bias, fairness and accountability, and the need for transparency.

The decision to create the framework is partly down to the increasing number of non-data scientists working with data in one way or another...

In parallel with this is the government's supposedly independent Centre for Data Ethics and Innovation, which was first mooted in November 2017 and aims to act as a bridge between regulators, academia, the public and business."