Imagine a state-of-the-art driverless car is zipping along a road with a disabled 90-year-old-passenger. The car must make a decision: drive into the mother and child and kill them, or career into a wall and kill the passenger. This is a variation of the trolley problem, which dominates academic and popular thinking about the ethics of driverless cars. The problem is that such debates not only dismiss the complexity of the system in which driverless cars will exist, but are really moral red herrings. The real ethical issues lie in the politics and power concerns with driverless cars.
The report says that London has an opportunity to build on the current levels of female founders and provide a start-up environment that encourages higher levels of female participation in AI and across the technology sector. The Mayor of London, Sadiq Khan, said: "There are few areas of innovation that have the power to define our future economy and society more than artificial intelligence. "The research describes a city with a rich technology ecosystem, a strong pipeline of AI innovation and an academic and investment base set up for the long term. "London's unique global status as a capital of finance, business, government, and technology is our standout asset. Everything entrepreneurs need is here in one place - not least access to clients."
On the sidelines of Money20/20, held in Amsterdam this week, bobsguide caught up with Nick Cook, head of regtech and advanced analytics at the UK's Financial Conduct Authority (FCA). All of the external facing regtech sits under my department. Internally, I'm leading our more advanced analytics, both the technology side - cloud analytics - as well as building out our human side - our data science capability. Over time, through training and development we can start to build it out and expand in an osmotic fashion across the wider organisation - effectively enabling us to leverage machine learning. We're also running sandboxes and hackathons to develop and encourage the regtech contingent of the UK startup market.
AI knows when you're going to die. But unlike in sci-fi movies, that information could end up saving lives. A new paper published in Nature suggests that feeding electronic health record data to a deep learning model could substantially improve the accuracy of projected outcomes. In trials using data from two US hospitals, researchers were able to show that these algorithms could predict a patient's length of stay and time of discharge, but also the time of death. The neural network described in the study uses an immense amount of data, such as a patient's vitals and medical history, to make its predictions.
The application of artificial intelligence algorithms in the justice system - for example to decide which offenders are eligible for alternatives to custodial sentences - will be among the first items on the agenda of a year-long investigation into the impact of technology opened by the Law Society. The Public Policy Technology and Law Commission - Algorithms in the Justice System, will meet in public three times, its chair Christina Blacklaws, who next month assumes the presidency of the Law Society, announced last night. The commmission's formation reflects growing concern about the advent of so-called'Schrodinger's justice' - in which decisions are taken by self-learning systems impervious to examination or challenge. Pressure group Big Brother Watch revealed yesterday that it has instructed human rights firm Leigh Day to take action against the Metropolitan Police over to demand the withdrawal of'dangerously authoritarian' automated technology for recognising faces at public events such as the Notting Hill Carnival. Blacklaws told an event at Chancery Lane last night that facial recognition systems in effect require'a degree of privacy to be surrendered in return for a promise of greater security' - but that the technology had so far failed to work.
Facial recognition technology used by the UK police is making thousands of mistakes - and now there could be legal repercussions. Civil liberties group, Big Brother Watch, has teamed up with Baroness Jenny Jones to ask the government and the Met to stop using the technology. They claim the use of facial recognition has proven to be'dangerously authoritarian', inaccurate and a breach if rights protecting privacy and freedom of expression. If their request is rejected, the group says it will take the case to court in what will be the first legal challenge of its kind. South Wales Police, London's Met and Leicestershire are all trialling automated facial recognition systems in public places to identify wanted criminals.
Two legal challenges have been launched against police forces in south Wales and London over their use of automated facial recognition (AFR) technology on the grounds the surveillance is unregulated and violates privacy. The claims are backed by the human rights organisations Liberty and Big Brother Watch following complaints about biometric checks at the Notting Hill carnival, on Remembrance Sunday, at demonstrations and in high streets. Liberty is supporting Ed Bridges, a Cardiff resident, who has written to the chief constable of South Wales police alleging he was tracked at a peaceful anti-arms protest and while out shopping. Big Brother Watch is working with the Green party peer Jenny Jones who has written to the home secretary, Sajid Javid, and the Metropolitan police commissioner, Cressida Dick, urging them to halt deployment of the "dangerously authoritarian" technology. If the forces do not stop using AFR systems then legal action will follow in the high court, the letters said.
Thank you, Stephen [Carter], for the introduction. Your work as a board member at BEIS has been of huge value, as has your contribution to this industry and many other spheres of public life. It is fantastic to be here at the world's largest AI Summit for businesses, which now in its third year is going from strength to strength. Quite apart from the range and reputation of our sponsors, the 10,000 visitors expected over the two days is testament to just how engaged and passionate the AI community is. Almost 70 years ago to this day, in July 1948, just 15 miles upriver from here, a document (I have a facsimile here to show you) landed on the desk of the National Physical Laboratory – then, as today, the UK government's leading research lab – that would be my nomination for the greatest research report ever written.