Blog
Writing, thinking and debating about how data and AI can be made to work for people and society
The Ada Lovelace Institute blog presents ideas, arguments, strategies and practical examples that challenge how we think about data-intensive technologies, foster debate around them and orient us towards a society in which the harm that data and AI can bring are prevented, and the benefits are justly and equitably distributed.
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The role of public compute
How can we realise the societal benefits of AI with a market-shaping approach?
Mobilising publics and grassroots organisations to impact AI policy
What can we learn from network-building initiatives in Spain?
It’s time to strengthen data protection law for the AI era
How improving the Data Protection and Digital Information Bill can help ensure that AI and data work for people and society
Meaningful public participation and AI
Lessons and visions for the way forward
The Ada Lovelace Institute in 2023
Reflections on the last year and a look ahead to 2024 from Ada’s outgoing Director Carly Kind and Interim Director Fran Bennett
Genomics, AI and the politics of a data-first approach to medical evidence
What are the consequences of new forms of data-driven methods for health outcomes?
Evaluating data-driven COVID-19 technologies through a human-centred approach
What we can learn from missing evidence on digital contact tracing and vaccine passports?
AI regulation and the imperative to learn from history
What can we learn from policy successes and failures, to ensure frontier AI regulations are effective in practice?
Seizing the ‘AI moment’: making a success of the AI Safety Summit
Reaching consensus at the AI Safety Summit will not be easy – so what can the Government do to improve its chances of success?
The data of the most vulnerable people is the least protected
How has biometric data collection caused harm in the context of humanitarian interventions and where do future risks lie?
Regulating AI in the UK: three tests for the Government’s plans
Will the proposed regulatory framework for artificial intelligence enable benefits and protect people from harm?
What will the role of standards be in AI governance?
Why standards are at the centre of AI regulation conversations and the challenges they raise