This past April, engineer Alex Reben developed and posted to YouTube, "Deeply Artificial Trees", an art piece powered by machine learning, that leveraged old Joy of Painting videos. It generate gibberish audio in the speaking style and tone of Bob Ross, the show's host. Bob Ross' estate was not amused, subsequently issuing a DMCA takedown request and having the video knocked offline until very recently.
According to scientists and legal experts, responding to the bank's warning this November, there is now an urgent need for the development of intelligent algorithms to be put on the political agenda. Top of the agenda as far as Lightfoot is concerned is the economic impact if AI cuts large amounts of jobs and the incomes from people, how will they make a living and what will they do, a concern that Professor Toby Walsh, an expert in AI at Australia's University of New South Wales and a prominent campaigner against the use of AI in military weapons, says is justified and one that needs to be urgently considered. Though Professor Walsh and fellow AI expert Murray Shanahan, Professor of Cognitive Robotics at London's Imperial College were wary of calls for regulation of the sector, which they said, would inhibit research. According to Professor Walsh scientists working in AI have already started to exercise a degree of self-control over the exploitation of the discoveries being made in AI the areas that need to be focussed on are the ramifications of the technology.
"You are worse than a fool; you have no care for your species. For thousands of years men dreamed of pacts with demons. Only now are such things possible." When William Gibson wrote those words in his groundbreaking 1984, novel Neuromancer, artificial intelligence remained almost entirely within the realm of science fiction. Today, however, the convergence of complex algorithms, big data, and exponential increases in computational power has resulted in a world where AI raises significant ethical and human rights dilemmas, involving rights ranging from the right to privacy to due process.
Fed up with the bribery, insider trading, embezzlement and money laundering committed by white-collar criminals? What if there was an app that could help nab these crooks by using the same machine learning tools and geospatial data increasingly relied upon by police to predict where the next burglary, drug deal or assault might go down? Sam Lavigne, co-creator of the White Collar Crime Risk Zones app, was onstage at the recent Strata Data Conference in New York, claiming to be able to do just that. "We used instances of financial malfeasance; density of nonprofit organizations, liquor stores, bars and clubs; and density of investment advisers," a straight-faced Lavigne said to an audience of data experts who immediately got the dark humor. For although the White Collar Crime Risk Zones app was indeed built -- using historical data from the Financial Industry Regulatory Authority -- its purpose is not to track white-collar crime, but to draw attention to the danger these kinds of applications, and the data they rely upon, present.
Whether it's a new employment contract, a rental contract, or sale contract, it needs to be checked before signing. Everyone knows the struggle of working through the dreaded small print, searching for pitfalls hidden in the tiniest details, and trying to make sense out of the bizarre language of law. In fairness to the layman, contract review is also a hustle for lawyers themselves. In 2014, commercial lawyer Noory Bechor got sick of the fact that 80 percent of his work was spent reviewing contracts. He figured the service could be done much cheaper, faster, and more accurately by a computer.