| Website | https://www.adalovelaceinstitute.org |
| Newsletter | https://nuffieldfoundation.tfaforms.net/149 |
📢 Join us for an event to launch the new ESRC
-funded project on participatory and inclusive data stewardship, led by @digitalgoodnet, with @AdaLovelaceInst and Liverpool Civic Data Cooperative.
When: 14:00, 26 Oct
Where: in person (100 St John Street, London) and online
COVID-19 technologies provide important insights and lessons for many emerging trends that require public acceptance and cooperation (for example, digital identity and wearable healthcare technology).
But how can we evaluate their effectiveness according to a human-centred approach?
Melis Mevsimler looks at the evidence (and evidence gaps) in our latest blog post⬇️
https://www.adalovelaceinstitute.org/blog/covid-19-technologies-human-centred-approach/
Dame Julie Maxton has been appointed as the new Chair of our Oversight Board by the Nuffield Foundation.
https://www.adalovelaceinstitute.org/news/dame-julie-maxton-appointed-chair/
AWO analysis shows gaps in UK legal regime protecting people from AI harms. https://www.awo.agency/blog/awo-analysis-shows-gaps-in-effective-protection-from-ai-harms/
Analysis was commissioned by @AdaLovelaceInst whose report 'Regulating AI in the UK' was published today.
https://www.adalovelaceinstitute.org/report/regulating-ai-in-the-uk/
You can read our full legal analysis:
https://www.awo.agency/files/AWO%20Analysis%20-%20Effective%20Protection%20against%20AI%20Harms.pdf
Our new report analyses the UK’s proposals for AI regulation and makes recommendations for strengthening them across three categories, reflecting our tests for effective AI regulation: coverage, capability and urgency.
We hope the report will be useful for policymakers, regulators, journalists, industry, academia, civil society, and anyone else who is interested in understanding how AI can be regulated in the UK for the benefit of people and society.
https://www.adalovelaceinstitute.org/report/regulating-ai-in-the-uk/
We recognise that the terminology in this area is contested and we expect that language will evolve quickly.
Our explainer is a snapshot in time and aims to help people understand current norms in uses of terminologies, and their social and political contexts. (2/2)
Foundation models, large language models, general-purpose AI, generative AI - what do these different terms mean?
Our new explainer aims to cut through the confusion and discusses why language is important – but tricky – in this fast-moving area. (1/2)
https://www.adalovelaceinstitute.org/resource/foundation-models-explainer/
How has biometric data collection caused harm in humanitarian contexts, such as conflicts and natural disasters, and where do future risks lie?
In their new post on our blog, Belkis Wille and Katja Lindskov Jacobsen examine the barriers to better data protection in these contexts.
https://www.adalovelaceinstitute.org/blog/data-most-vulnerable-people-least-protected/
In our new blog post we explain significant features of the UK Government’s proposals for AI regulation and how we intend to test them against three challenges: coverage, capability and criticality.
Coverage – How well does the UK’s regulatory patchwork address AI?
Capability – How well-equipped are UK regulatory institutions to deliver the principles?
Criticality – Will the UK approach enable a timely response to urgent risks?
https://www.adalovelaceinstitute.org/blog/regulating-ai-uk-three-tests/
AWO
Laura Carter
