News and coverage
We are happy to help journalists, commentators, researchers and others who want to find out more about AIAAIC, use our data, draw on our insights, or who are looking for an interview, comment, or background information.
Talk to us on this website, Twitter or LinkedIn.
Media & industry coverage
Ada Lovelace Institute (2022): Looking before we leap. Expanding ethical review processes for AI and data science research
Our World in Data (2022): Artificial Intelligence is Transforming our World
Forrester Research (2022): Bridge The Trust Gap Between AI And Impact
IEEE SA (2022): Metaverse and its Governance
MAIEI (2022): Resistance to Algorithmic Harms Research Summary
Google Cloud Security podcast (2022): How to Secure Artificial Intelligence: Threats, Approaches, Lessons So Far
IEEE ComSoc (2021): The Case for and Against AI in Telecommunications
Science|Business (2021): UK Sets Out ‘Pro-innovation’ AI Rules, in Further Move Away from Brussels
Digital Bulletin (2021): UK Launches Standard for Algorithmic Transparency
CPA Canada (2021): Technology is a Double-edged Sword with both Opportunities and Challenges for the Accountancy Profession (pdf)
IEEE Spectrum (2021): 7 Revealing Ways AIs fail
Forbes (2021): The Dangers of AI Need to be Discussed
Financial Times (2021): How is Big Tech Dealing with Ethical Problems?
Analytics India (2021): EU Mulls Ban On Using AI For Mass Surveillance and Social Credit Scores
MAIEI AI Ethics Brief (2020): Where in the World is AI?
IEEE Global AI/S Ethics Initiative (2020): Tracking AI and Algorithmic Risks
Op-eds
Charlie Pownall/INFLUENCE (2021): What the EU AI Act Means for Communicators (pdf)
Charlie Pownall/INFLUENCE (2021): Getting to Grips with AI Black Boxes
Charlie Pownall/INFLUENCE (2021): What the UK's Exam Grade Results Fiasco tells us about AI and Algorithmic Transparency
Charlie Pownall/INFLUENCE (2021): What the EU's AI Regulation says about Trust and Transparency