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AI 2022: Conference highlights
An overview of 2022's two day virtual conference on the growing impact of AI and machine learning within the global media landscape. -
Innovation in AI driven technology
Storm Fagan, the 麻豆社鈥檚 Chief Product Officer, sets out how the 麻豆社 is innovating and developing new ways of bringing the best, value-driven and ethical content to audiences. -
An Insight into AI
An overview of where and how AI-driven technology is used. Professor Maria Liakata of The Alan Turing Institute joins journalists from the 麻豆社 and the Guardian to discuss how the media is innovating. -
AI: Friend or Foe?
Is AI always a force for good? Keynote address by Michal P臎chou膷ek, Chief Technical Officer at cyber security firm, Avast on how we can harvest the huge potential AI offers whilst being aware of the risks it can bring. -
AI and Video Enhancement
麻豆社 Blue Room Technologist, Deta Ward presents this fascinating session exploring some of the very latest developments in AI-driven video enhancement tools. -
Making News
麻豆社 News Digital Development Editor, Nathalie Malinarich, is joined by top academics in the field of AI to look at how it is used in newsrooms and its impact on journalism. Plus, how Chartbeat uses real time audience data aids. -
Delving into Data
Discover how the International Consortium of Investigative Journalists apply machine learning techniques to dig out news stories from masses of data and see how the 麻豆社 is using facial recognition technology to verify footage in Ukraine. -
Getting it Right
The 麻豆社鈥檚 lead on responsible use of AI and his counterpart at IT giant, Accenture, scrutinise the importance for organisations in the public and private sectors to develop principles to ensure the responsible application of AI and machine learning. -
Automation, Algorithms and Accountability
As legislation progresses through Parliament, Sachin Jogia, Chief Technology Officer at Ofcom, delivers a keynote address on the checks and balances needed to protect the public from harmful use of AI. -
Lifting the Lid: Inconvenient Truths
Karen Hao of the Wall Street Journal scrutinises the less palatable aspects of AI and ML such as the mass capture of personal data, algorithmic bias, hidden environmental and social costs, and the use of 鈥渄eep fakes鈥�. -
Making ML Boring!
Join Jules Marshall, the 麻豆社鈥檚 Director of Product Data and Bill Thompson from 麻豆社 R&D as they explore some of the amazing things that machine learning can do and reflect on plans to expand its use across the 麻豆社. -
Now for the Science Bit: Future-Gazing
An exploration of what the future might look like. Will we be living in a metaverse? If so, who owns it? Will robots have relieved us of many tedious tasks? And will our news be read by a synthetic Huw Edwards?