Ayesha Bhatti

President Trump has rightly emphasized that AI should be allowed to learn like humans do, and unless the UK adopts a commonsense approach to AI training and copyright, it risks falling behind China in the global AI race.

The CMA should not regulate a nascent and rapidly evolving field like AI chatbots as an access point to search, where competition limits the potential for market power.

It is critical that, in tackling both these issues, the EU avoids engaging in digital protectionism, which would harm European competitiveness further.

The Center welcomes the European Commission’s ambition to accelerate the uptake of AI across the economy and public sector as part of its broader AI continent action plan.

The UK should reject misleading claims that AI training is theft and instead adopt a modern, permissive copyright framework that protects creativity while enabling the innovation needed to become a global AI leader.

ITIF offered comments on evidence the UK government should draw on; short- and long-term objectives for the UK-China relationship; areas to engage with China, and areas to draw red lines; how engagement could affect other alliances; and how to assess dependencies on China while strengthening security and resilience.

By prioritising the digitisation and availability of data that reflects this diversity, countries and communities stand a better chance of shaping AI in their own image, rather than submitting to someone else’s.

If the European Commission truly wants innovation-led growth, it should abandon the idea that protection equals prosperity.

The Center for Data Innovation submitted these comments to the UK government’s Intellectual Property Office, Department for Science, Innovation and Technology, and Department for Culture, Media and Sport on its consultation on proposed changes to the UK’s copyright regime, the Copyright, Design, and Patents Act (CDPA) 1988.

The UK’s new Data (Use and Access) Bill aims to enable AI and data-driven services, reviving parts of the previous DPDI Bill. To seize post-EU opportunities, it should adopt provisions tightening personal data definitions and aligning government-ICO priorities.

The UK stands at a critical moment when embracing digital transformation, AI, and data innovation is not just an opportunity but also a necessity. By implementing forward-thinking policies, the UK can not only drive economic growth but also position itself as a global leader in emerging technologies.

The UK government needs to make a choice: competitiveness and growth or heavy-handed regulation in the service of social policy. It can have one but not both.

Ayesha Bhatti gave an introduction to AI policy to computer science students on the DCI Study Abroad programme.

Ayesha Bhatti speaks about watermarking for generative AI and the policy approaches to build trust online in the AI age at the University of Edinburgh's GAIL workshop.

Watch now for the Center for Data Innovation's discussion on the potential consequences of the UK government’s proposed option and how creating a more permissive text and data mining exception would advance the UK’s goals of being competitive in AI without undermining the rights of creators.

Ayesha Bhatti speaks about European competitiveness at an event hosted by SME Connect in Strasbourg

Ayesha Bhatti speaks about balancing bold innovation with responsible practices at the Oxford Generative AI Summit.

Watch now for a panel discussion exploring the hurdles impeding the widespread adoption of AI in the public sector and examining actionable steps to empower and facilitate the sector in harnessing the benefits of this cutting-edge technology.

Ayesha Bhatti speaks at Impact the Future: International Women's Day 2024 on exploring the importance of open-source development in the pursuit of innovation.