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Also in today’s newsletter, investors look to the next health crisis on the horizon
Is horse racing at risk? FT Weekend goes to a Miami racetrack to find out
Technology has given a new level of precision to old debates but governments need to be honest about the difficult choices
The Financial Times invited readers to name European companies using new technology to meet the business challenges of 2022 — from the Ukraine conflict to the energy and climate crises. Here are the shortlisted businesses, and this year’s winners
Some staff had criticised Mustafa Suleyman for an overly aggressive management style
Business schools should teach that responsibility need not hamper innovation
Algorithmic decision-making has long put technology first, with due diligence an afterthought
Nicolas Chaillan speaks of ‘good reason to be angry’ as Beijing heads for ‘global dominance’
Labour shortages will spur further automation — but not everywhere
They’re fighting back against the growing use of high-tech monitoring by taking increasingly fringe counter-measures
Technology is transforming societies around the world, but governments and the companies behind that technology have struggled with ethics and morality, from self-regulation to surveillance to AI bias. How can we understand these complex problems — and begin to find better answers?
Some tech groups are stepping back from becoming too ‘interconnected’, while others are stepping in
The global market is growing, but technical bias against women and people of colour is cause for concern
Artificial intelligence has been honed by new techniques of machine learning to maximum effect
Discourse tends to be western-centric — that is a problem for the rest of the world, say academics
The social media platform’s self-policing model is an attempt to stave off regulators, say critics
Platforms must apply the principles of procedural fairness and natural justice in a standardised and universal way
The CEO of ‘artificial emotional intelligence’ start-up Affectiva says the pandemic changed attitudes to machine learning
FT correspondents Madhumita Murgia and Kiran Stacey answered your questions on the use of artificial intelligence by companies
A guide to an intellectual counter-revolution that is already transforming the world
Google and others have to prove the technology can be used for good
Building public trust in artificial intelligence systems is essential
Using new technology without weighing social impact could cost companies dearly
Machines may be complex but they cannot make qualitative or moral judgments
The first international accord on AI development comes as countries grapple with the future of governance of the technology
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