BRUSSELS, BELGIUM – IBM today issued the following statement welcoming the Organization for Economic Cooperation and Development's (OECD) release of new Principles on Artificial Intelligence: "The OECD's Principles on AI provide sound policy guidance for governments and stakeholders around the world that are working to advance responsible, human-centred AI. IBM is proud to have contributed our deep AI expertise to their development, and we fully agree in our own guidance to governments with the OECD's view that AI must be fair, explainable and secure. We also support their emphasis on the need for greater investment in AI skills and research. "In the 1980s, OECD guidelines on data protection and privacy provided the essential, international foundation for privacy legislation enacted by many countries. The organization is well-positioned to provide a similar global basis for balanced and consistent approaches to AI policies that prioritize trust and maximize the benefits to society while mitigating risks.

Modeling and forecasting forward citations to a patent is a central task for the discovery of emerging technologies and for measuring the pulse of inventive progress. Conventional methods for forecasting these forward citations cast the problem as analysis of temporal point processes which rely on the conditional intensity of previously received citations. Recent approaches model the conditional intensity as a chain of recurrent neural networks to capture memory dependency in hopes of reducing the restrictions of the parametric form of the intensity function. For the problem of patent citations, we observe that forecasting a patent's chain of citations benefits from not only the patent's history itself but also from the historical citations of assignees and inventors associated with that patent. In this paper, we propose a sequence-to-sequence model which employs an attention-of-attention mechanism to capture the dependencies of these multiple time sequences. Furthermore, the proposed model is able to forecast both the timestamp and the category of a patent's next citation. Extensive experiments on a large patent citation dataset collected from USPTO demonstrate that the proposed model outperforms state-of-the-art models at forward citation forecasting.

An office worker who believes his image was captured by facial recognition cameras when he popped out for a sandwich in his lunch break has launched a groundbreaking legal battle against the use of the technology. Supported by the campaign group Liberty, Ed Bridges, from Cardiff, raised money through crowdfunding to pursue the action, claiming the suspected use of the technology on him by South Wales police was an unlawful violation of privacy. Bridges, 36, claims he was distressed by the apparent use of the technology and is also arguing during a three-day hearing at Cardiff civil justice and family centre that it breaches data protection and equality laws. Facial recognition technology maps faces in a crowd and then compares them to a watchlist of images, which can include suspects, missing people and persons of interest to the police. The cameras scan faces in large crowds in public places such as streets, shopping centres, football crowds and music events such as the Notting Hill carnival. Bridges, a former Liberal Democrat councillor, believes his image was captured while shopping in Cardiff, and later at a peaceful protest against the arms trade.

The group, representing the world's richest countries, hopes non-binding guidelines will become global standard. PARIS -- Donald Trump's administration has finally found an international agreement it can support. At an annual meeting on Wednesday, the 36 countries in the Organization for Economic Cooperation and Development (OECD) plus a handful of other nations are set to adopt a list of guidelines for the development and use of artificial intelligence. The agreement, seen by POLITICO, marks the first time that the United States -- home to some of the world's largest and most powerful tech companies -- has endorsed international guidelines for the emerging technologies. China, the second global front-runner in the field, is not a member of the OECD.

In this Oct. 31, 2018, file photo, a man, who declined to be identified, has his face painted to represent efforts to defeat facial recognition during a protest at Amazon headquarters over the company's facial recognition system, "Rekognition," in Seattle. San Francisco is on track to become the first U.S. city to ban the use of facial recognition by police and other city agencies. These days, with facial recognition technology, you've got a face that can launch a thousand applications, so to speak. Sure, you may love the ease of opening your phone just by facing it instead of tapping in a code. But how do you feel about having your mug scanned, identifying you as you drive across a bridge, when you board an airplane or to confirm you're not a stalker on your way into a Taylor Swift concert?

The first legal battle in the UK over police use of face recognition technology will begin today. Ed Bridges has crowdfunded action against South Wales Police over claims that the use of the technology on him was an unlawful violation of privacy. He will also argue it breaches data protection and equality laws during a three-day hearing at Cardiff Civil Justice and Family Centre. Face recognition technology maps faces in a crowd then compares results with a "watch list" of images which can include suspects, missing people and persons of interest. Police who have trialled the technology hope it can help tackle crime but campaigners argue it breaches privacy and civil liberty.

In early April, the European Commission published guidelines intended to keep any artificial intelligence technology used on the EU's 500 million citizens trustworthy. The bloc's commissioner for digital economy and society, Bulgaria's Mariya Gabriel, called them "a solid foundation based on EU values." One of the 52 experts who worked on the guidelines argues that foundation is flawed--thanks to the tech industry. Thomas Metzinger, a philosopher from the University of Mainz, in Germany, says too many of the experts who created the guidelines came from or were aligned with industry interests. Metzinger says he and another member of the group were asked to draft a list of AI uses that should be prohibited.

The reintroduction of the Artificial Intelligence in Government Act this month is a much needed response to concerns that the United States is lagging behind both foreign governments and American industry in reaping the promise and perils of artificial intelligence. Sponsored by a bipartisan group of senators, the bill promotes the adoption of artificial intelligence in the federal government, while addressing the potential negative consequences. A companion bill was introduced in the House. Central to the bill is the creation of an Artificial Intelligence Center of Excellence within the General Services Administration, which will provide the technical expertise, research, and advice to federal agencies on the acquisition and use of artificial intelligence technology, including all of the accompanying "economic, policy, legal, and ethical challenges and implications." A key part of its mission is to direct and assist the agencies in developing and maintaining governance plans for their use of artificial intelligence.

ABBYY, a global leader in Content IQ technologies and solutions, today announced it has signed an agreement to acquire Philadelphia, Pennsylvania-based TimelinePI. TimelinePI provides a comprehensive process intelligence platform designed to empower users to understand, monitor and optimize any business process. The global process analytics market size is expected to grow to USD 1,421.7 million by 2023 according to Research and Markets. The acquisition of TimelinePI is a strategic investment by ABBYY into the emerging process intelligence market which is critical to truly understanding the impact and effectiveness of business processes and opportunities for productivity gains from digital transformation investments. TimelinePI's vision of combining the most versatile process mining and operational monitoring with cutting-edge, process-centric AI and machine learning will serve as a critical cornerstone to ABBYY's Digital IQ strategy.

On Tuesday, in an 8-1 tally, the San Francisco Board of Supervisors voted to ban the use of facial recognition software by city departments, including police. Supporters of the ban cited racial inequality in audits of facial recognition software from companies like Amazon and Microsoft, as well as dystopian surveillance happening now in China. At the core of arguments around the regulation of facial recognition software use is the question of whether a temporary moratorium should be put in place until police and governments adopt policies and standards or it should be permanently banned. Some believe facial recognition software can be used to exonerate the innocent and that more time is needed to gather information. Others, like San Francisco Supervisor Aaron Peskin, believe that even if AI systems achieve racial parity, facial recognition is a "uniquely dangerous and oppressive technology."