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Ayesha Bhatti

Ayesha Bhatti

Policy Analyst

Center for Data Innovation

Email: [email protected]

Twitter: @ayeshalovestech

LinkedIn: https://www.linkedin.com/in/ayesha-bhatti-4ab02a167

Ayesha Bhatti is a policy analyst at ITIF’s Center for Data Innovation. Prior to joining, she worked as a data scientist at a technology consulting firm in London. She has an LLB from the University of Nottingham, and an MSc in Computer Science from Birkbeck, University of London. She is also a licensed attorney in the state of New York.

Recent Publications

February 23, 2024

Comments to Ofcom on Protecting People From Illegal Harms Online

The Center for Data Innovation submitted comments with Ofcom, the regulator of communications services in the UK, on its first major consultation on the Online Safety Act.

February 7, 2024

The UK's Agile, Sector-Specific Approach to AI Regulation Is Promising

The United Kingdom's response to the UK AI Regulation White Paper proves the government maintains a pro-innovation stance towards AI, however, time will tell whether individual regulators adhere to this vision or have enough resources to carry it out.

February 5, 2024

CMA Chair Falls Into the Trap of AI Fear-mongering as He Reframes Old Risks as New

The type of rhetoric from one of the UK’s top regulators, Marcus Bokkerink, Chair of the Competition and Markets Authority, illustrates a potentially hostile approach it suggests the CMA might take towards AI, risking stifling UK innovation in AI before its benefits fully emerge.

January 26, 2024

The IPA Amendments Bill Questions the UK’s Ambition to Be a Leader in Tech Innovation

Parliament should revise amendments to the Investigatory Powers Act (IPA) to ensure UK users continue to have access to the most secure digital communications tools available.

More publications by Ayesha Bhatti

Recent Events and Presentations

April 16, 2024

How Can the UK Encourage the Uptake of AI in the Public Sector?

Join ITIF's Center for Data Innovation 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.

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