As "AI: Who’s Looking After Me?" comes to a close after seven months, we look back at Science Gallery London’s most timely season to date
Read MoreThere’s plenty of fear-mongering about AI taking our jobs, but how will this technology really affect work culture?
Read MoreIn the week of the UK’s AI Safety Summit, governance and regulation of AI design comes under the spotlight
Read More"It gives you not just one side of the story, but multiple stories about AI"
Read MoreHow do we design better AI that doesn’t create or perpetuate health disparities? Watch the discussion recorded at Science Gallery London.
Read MoreCreative intervention that aims to infiltrate increasingly AI-moderated systems of the UK border regime wins art and technology award
Read MoreSpecial edition of the BBC’s most downloaded podcast featured contributions from featured artists and a panel of AI experts from King’s
Read MoreEmma Lovatt Smith and Samuel Brewis - two of the young participants involved in the making of the exhibit Does AI Care? - share their thoughts about their involvement in the project
Read MoreTake a look at the making of this interactive installation that pulses with the heartbeats of its visitors - a collaboration with young people with congenital heart conditions and their siblings from ECHO Teens
Read More“New show explores how artificial intelligence can be deployed to care for humans” - read Emily Steer’s feature for artnet about our current exhibition
Read MoreWe kicked off our AI season events programme with a presentation by the influential AI ethicist Margaret Mitchell followed by a panel discussion looking at issues around public participation in AI development.
Read MoreAs two major exhibitions about AI open at King’s, Professor Michael Luck, Director of the Institute for Artificial Intelligence, and Siddharth Khajuria, Director of Science Gallery London, reveal what visitors can expect
Read MoreA major new exhibition and events programme invites you to dive into the opaque and murky workings of AI to explore what ethical and equitable human-AI systems might look and feel like
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