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Artificial intelligence is already helping determine your future – whether it’s your Netflix viewing preferences, your suitability for a mortgage or your compatibility with a prospective employer. But can we agree, at least for now, that having an AI determine your guilt or innocence in a court of law is a step too far?

Worryingly, it seems this may already be happening. When American Chief Justice John Roberts recently attended an event, he was asked whether he could forsee a day “when smart machines, driven with artificial intelligences, will assist with courtroom fact finding or, more controversially even, judicial decision making”. He responded: “It’s a day that’s here and it’s putting a significant strain on how the judiciary goes about doing things”.

Roberts might have been referring to the recent case of Eric Loomis, who was sentenced to six years in prison at least in part by the recommendation of a private company’s secret proprietary software. Loomis, who has a criminal history and was sentenced for having fled the police in a stolen car, now asserts that his right to due process was violated as neither he nor his representatives were able to scrutinise or challenge the algorithm behind the recommendation.

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N” Mobile phone apps took center stage at Google’s annual developer conference on Wednesday as the search giant announced new features for its digital assistant and its popular photo app while devoting little time to the Android mobile operating system.

Addressing an audience of thousands of developers in Mountain View, California, Google executives delivered a broad-based update to their product portfolio which also included a slate of new features for the Google Home speaker, a job search tool and even a set of new virtual reality headsets.

In a sign of the ongoing strategic importance of Google Assistant, the company’s artificial intelligence-driven, voice-controlled digital assistant, Google announced it would make the product available on Apple Inc’s (AAPL.O) iPhone, making a play for the higher end of the smartphone market and challenging Apple’s Siri feature on its own devices.

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Intel, Salesforce, eBay, Sony, SAP, McKinsey & Company, Zalando and Cogitai are joining the Partnership on AI, a collection of companies and non-profits that have committed to sharing best practices and communicating openly about the benefits and risks of artificial intelligence research. The new members will be working alongside existing partners that include Facebook, Amazon, Google, IBM, Microsoft and Apple.

Collectively, the partners will be hosting a series of AI Grand Challenges to incentivize researchers to contribute to key roadblocks in the field and to address some of the social and societal ramifications of artificial intelligence research. The group is also announcing a best paper award for the greatest contribution to “AI, People, and Society,” to aid in addressing a similar goal.

In addition to the paper awards and challenges, the Partnership on AI will also be establishing topic and sector-specific work groups to make good on the group’s promise to generate a list of best practices for researchers.

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  • Second Livestock is a unique application of virtual reality (VR) that could change animal husbandry and livestock farming.
  • Developed by design professor Austin Stewart, this VR free-range farm world is a safe haven for chickens.

Free-range livestock is going to the next level, thanks to a unique, if seemingly silly idea that has recently gone viral. Second Livestock is a free range world for chickens in virtual reality (VR). And yes, just like most of VR’s current applications, it actually works like a game — a massively-multiplayer one full of chickens and with no AI bots.

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Elon Musk co-founded artificial intelligence non-profit OpenAI just announced it has created an AI system that can learn to complete a task in reality after watching just one demonstration of that task in a simulated environment.

If imitation is the sincerest form of flattery, OpenAI’s newest robot system should leave humanity blushing. Not only can it successfully replicate human behaviors, it can do so after just a single demonstration of the task.

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