Getting its world premiere at documentary festival IDFA in Amsterdam, Tonje Hessen Schei's gripping AI doc "iHuman" drew an audience of more than 700 to a 10 a.m. Many had their curiosity piqued by the film's timely subject matter--the erosion of privacy in the age of new media, and the terrifying leaps being made in the field of machine intelligence--but it's fair to say that quite a few were drawn by the promise of a Skype Q&A with National Security Agency whistleblower Edward Snowden, who made headlines in 2013 by leaking confidential U.S. intelligence to the U.K.'s Guardian newspaper. Snowden doesn't feature in the film, but it couldn't exist without him: "iHuman" is an almost exhausting journey through all the issues that Snowden was trying to warn us about, starting with our civil liberties. Speaking after the film--which he "very much enjoyed"--Snowden admitted that the subject was still raw for him, and that the writing of his autobiography (this year's "Permanent Record"), had not been easy. "It was actually quite a struggle," he revealed.

Serial cybersecurity entrepreneur Shlomo Kramer said in a 2005 interview that cybersecurity is "a bit like Alice in Wonderland" where you run as fast as you can only to stay in place. In 2020, to paraphrase the second part of the Red Queen's observation (actually from Through the Looking Glass), if you wish to stay ahead of cyber criminals, you must run twice--or ten times--as fast as that. The 141 predictions listed here reveal the state-of-mind of key participants in the cybersecurity defense industry and highlight all that's hot today. The future is murky, but we know for sure that on January 1, 2020, the California Consumer Privacy Act (CCPA) will go into effect; that the U.S. presidential election will take place on November 3, 2020; and that on October 1, 2020, if you "wish to fly on commercial aircrafts or access federal facilities" in the U.S., you must have a REAL ID compliant card. Other than these known events, the crystal balls of the participants in this survey warn us ...

Moreover, the applications that support law firms now offer new insights into productivity -- something that is useful for attorneys and clients alike. Because of popular media, there are lots of perceptions as to the nature of artificial intelligence. Many of these perceptions have to do with programs that gain sentience and set forth their nefarious agendas. The reality of artificial intelligence is much less colorful, but much more useful. In its simplest form, AI is a technology that can mimic human characteristics in order to perform tasks previously only possible for humans.

Actress and freelance writer Yumi Ishikawa, whose campaign against mandatory high heels in the workplace won broad public support, has stepped up her fight against strict corporate dress codes in Japan -- including a ban at some firms on women wearing glasses. Ishikawa shot to prominence this year with her drive against Japanese office culture, in which high heels are seen as near-obligatory when job-hunting or working in the office. Known by the hashtag #KuToo -- a play on words from the Japanese word "kutsu", meaning "shoes," and "kutsuu," meaning "pain" -- the campaign was chosen on Monday as one of the buzzwords of the year. Ishikawa's latest petition to relax the rules, delivered to the labor ministry on Tuesday, has attracted more than 31,000 signatures. "The root cause of the problem is that (there are companies) that have rules for women only -- such as a ban on wearing glasses or a requirement to wear make-up," the 32-year-old told reporters.

In a test case for these issues, a team led by Professor Ryan Abbott at the University of Surrey has filed several patent applications for inventions which they claim were invented by an AI named DABUS (Device for the Autonomous Bootstrapping of Unified Sentience). The inventions in question are a'Fractal Container' and a'Neural Flame'. Patent applications to both of these inventions have been filed with the UK IPO, USPTO and EPO. PCT applications to these inventions have also been filed. The'Fractal Container' patent application relates to a container having a wall with a fractal profile.

A new leak of highly classified Chinese government documents has uncovered the operations manual for running the mass detention camps in Xinjiang and exposed the mechanics of the region's Orwellian system of mass surveillance and "predictive policing." The China Cables, obtained by the International Consortium of Investigative Journalists, include a classified list of guidelines, personally approved by the region's top security chief, that effectively serves as a manual for operating the camps now holding hundreds of thousands of Muslim Uighurs and other minorities. The leak also features previously undisclosed intelligence briefings that reveal, in the government's own words, how Chinese police are guided by a massive data collection and analysis system that uses artificial intelligence to select entire categories of Xinjiang residents for detention. The manual, called a "telegram," instructs camp personnel on such matters as how to prevent escapes, how to maintain total secrecy about the camps' existence, methods of forced indoctrination, how to control disease outbreaks, and when to let detainees see relatives or even use the toilet. The document, dating to 2017, lays bare a behavior-modification "points" system to mete out punishments and rewards to inmates. The manual reveals the minimum duration of detention: one year -- though accounts from ex-detainees suggest that some are released sooner. Experts say the platform, which is used in both policing and military contexts, demonstrates the power of technology to help drive industrial-scale human rights abuses. The China Cables reveal how the system is able to amass vast amounts of intimate personal data through warrantless manual searches, facial recognition cameras, and other means to identify candidates for detention, flagging for investigation hundreds of thousands merely for using certain popular mobile phone apps.

If you hadn't heard, Elon Musk is worried about the machines. Though that may seem a quixotic stance for the head of multiple tech companies to take, it seems that his proximity to the bleeding edge of technological development has given him the heebie-jeebies when it comes to artificial intelligence. He's shared his fears of AI running amok before, likening it to "summoning the demon," and Musk doubled down on his stance at a meeting of the National Governors Association this weekend, telling state leaders that AI poses an existential threat to humanity. "Until people see robots going down the street killing people, they don't know how to react because it seems so ethereal. AI is a rare case where I think we need to be proactive in regulation instead of reactive. Because I think by the time we are reactive in AI regulation, it's too late," according to the MIT Tech Review.

AI-based technologies such as contract management and contract review are empowering lawyers and legal professionals to engage in higher value work, helping them to accomplish routine tasks more quickly and accurately. This guide takes a deep dive into how artificial intelligence is actually impacting corporate legal teams, the rise of legal technology, and a look at what is to come.

To build AI-based systems that users and the public can justifiably trust one needs to understand how machine learning technologies impact trust put in these services. To guide technology developments, this paper provides a systematic approach to relate social science concepts of trust with the technologies used in AI-based services and products. We conceive trust as discussed in the ABI (Ability, Benevolence, Integrity) framework and use a recently proposed mapping of ABI on qualities of technologies. We consider four categories of machine learning technologies, namely these for Fairness, Explainability, Auditability and Safety (FEAS) and discuss if and how these possess the required qualities. Trust can be impacted throughout the life cycle of AI-based systems, and we introduce the concept of Chain of Trust to discuss technological needs for trust in different stages of the life cycle. FEAS has obvious relations with known frameworks and therefore we relate FEAS to a variety of international Principled AI policy and technology frameworks that have emerged in recent years.

The use of facial recognition technology is continuing to expand, despite concerns about its accuracy and fairness and about how it could be used by governments to spy on people. These concerns have been heightened following a report by the Financial Times which shows that Chinese groups have a significant influence in shaping international standards regarding the technology. The report details how Chinese companies including ZTE, Dahua and China Telecom are proposing standards for facial recognition to the UN's International Telecommunication Union (ITU), the body responsible for global technical standards in the telecommunication industry. Usually, the standards set by the ITU are technical in nature, but human rights campaigners say the proposals under discussion in this case are more like policy recommendations. The standards proposed include recommendations for use cases, suggesting that facial recognition can be used by police, by employers to monitor employees, and for spotting specific targets in crowds.