Britain risks sleepwalking into a "ghastly, Orwellian, omniscient police state" unless it addresses the ethical dilemmas posed by new technologies such as facial recognition and artificial intelligence, the Met Commissioner has warned. Cressida Dick said while the digital age presented numerous opportunities to help in the fight against crime it was vital there was a strict legal framework to ensure it was not used inappropriately. In a speech delivered at the Lowy Institute think tank in Sydney, Australia, Ms Dick said it was important to remember that the role of technology and data was to enable humans "to make better decisions.'' She said: "We're now tiptoeing into a world of robotics, AI [artificial intelligence] and machine learning ... the next step might be predictive policing. "People are starting to get worried about that ... particularly because of the potential for bias in the data or the algorithm, [like] live facial recognition software."

Automation is not likely to eliminate millions of jobs any time soon -- but the U.S. still needs vastly improved policies if Americans are to build better careers and share prosperity as technological changes occur, according to a new MIT report about the workplace. The report, which represents the initial findings of MIT's Task Force on the Work of the Future, punctures some conventional wisdom and builds a nuanced picture of the evolution of technology and jobs, the subject of much fraught public discussion. The likelihood of robots, automation, and artificial intelligence (AI) wiping out huge sectors of the workforce in the near future is exaggerated, the task force concludes -- but there is reason for concern about the impact of new technology on the labor market. In recent decades, technology has contributed to the polarization of employment, disproportionately helping high-skilled professionals while reducing opportunities for many other workers, and new technologies could exacerbate this trend. Moreover, the report emphasizes, at a time of historic income inequality, a critical challenge is not necessarily a lack of jobs, but the low quality of many jobs and the resulting lack of viable careers for many people, particularly workers without college degrees.

Police use of automatic facial recognition technology to search for people in crowds is lawful, the high court in Cardiff has ruled. Although the mass surveillance system interferes with the privacy rights of those scanned by security cameras, a judge has concluded, it is not illegal. The legal challenge was brought by Ed Bridges, a former Liberal Democrat councillor from Cardiff, who noticed the cameras when he went out to buy a lunchtime sandwich. He was supported by the human rights organisation Liberty. Bridges said he was distressed by police use of the technology, which he believes captured his image while out shopping and later at a peaceful protest against the arms trade.

As the public becomes increasingly aware of the dangers of AI algorithmic bias and concerned over surveillance and militaristic applications of deep learning, there have been a growing number of calls for AI regulation. Whether new laws governing AI fairness or policies constraining the use of autonomous weapons systems, the challenge confronting policymakers is that AI is very much like encryption: it is not a single controlled algorithm that can be regulated, it is a portfolio of techniques that no single country controls and which are being advanced every day by researchers all across the world. The almost unimaginably rapid progression of deep learning over the past half-decade into every corner of modern life has ushered in profoundly existential questions about how to ensure accurate, fair and beneficial use of this rapidly evolving technology. When it comes to biased algorithms, the fundamental fairness of current AI systems has been largely left to market forces. In turn, basic economics has ensured that free but heavily biased data wins over costly but minimally biased data.

Google's goal has always been to organize the world's information, and its first target was the commercial web. Now, it wants to do the same for the scientific community with a new search engine for datasets. The service, called Dataset Search, launches today, and will be a companion of sorts to Google Scholar, the company's popular search engine for academic studies and reports. Institutions that publish their data online, like universities and governments, will need to include metadata tags in their webpages that describe their data, including who created it, when it was published, how it was collected, and so on. This information will then be indexed by Dataset Search and combined with input from Google's Knowledge Graph.

King's Cross Central's developers said they wanted facial-recognition software to spot people on the site who had previously committed an offence there. The detail has emerged in a letter one of its managers sent to the London mayor, on 14 August. Sadiq Khan had sought reassurance using facial recognition on the site was legal. Two days before, Argent indicated it was using it to "ensure public safety". On Monday, it said it had now scrapped work on new uses of the technology.

The problem lies with data, The data can throw up results that discriminate between certain people. This in turn is creating a need for ethical AI, but it is incredibly difficult to come up with algorithms that are not in some way negatively impacted by data to create results that are biased. The solution may lie with creating adversarial algorithms. There is another phrase to describe it. Dr Marc Warner founder of Faculty and member of the UK AI council explained to Information Age how it works.

Artificial Intelligence ("AI") is no longer the stuff of sci-fi movies or alien invasions. The technology has permeated everyday life from Siri and Alexa to Facebook and Google. While marketing teams have been relying on AI for years to help streamline business efforts and target consumers, employers have finally joined in on the hype. While the use of AI can be an efficient and cost effective means for employers to handle tasks such as talent acquisition, compensation analysis, and administrative functions, it is not without its challenges. As lawmakers on the federal and state level struggle to catch up with the rapidly changing technology, it is imperative for employers to stay ahead of the curve and ensure that their use of AI is not exposing them to costly litigation. AI is often used in the workplace to assist employers with recruitment through the use of algorithms to make hiring decisions.

With cut-throat competition and the industry facing legal challenges world over, online casinos are focused on offering new solutions that improve service quality and draw more customers to grow their revenues. One of these solutions is artificial intelligence (AI). Artificial Intelligence (AI) is the new tech frontier. Every industry is finding a way to take advantage of the technology. Gambling industry is no exception.

"This biometric data is so sensitive that if it is compromised, there is simply no recourse," Shawn Williams, a lawyer for plaintiffs in the class action suit, told Reuters in August. "It's not like a Social Security card or credit card number where you can change the number.