For anyone working in robot development, they say, these findings ought to inform the decisions they make around appearance: "If robots are supposed to function as teachers, friends, or carers, for instance, then it will be a serious problem if all of these roles are only ever occupied by robots that are racialized as white."

Formed in September 2016 by a coalition of the largest tech companies in AI -- Apple, Amazon, Facebook, Google, IBM, and Microsoft -- it is a nonprofit organization that advises corporations and governments on AI policy and seeks to answer big questions about the future, like how AI will influence the economy and society and how best to make safety-critical or transparent AI systems. Of the more than 100 notable organizations active on five continents that compose the Partnership, more than half are human rights groups like Amnesty International, Future of Life Institute, and GLAAD. They sit alongside some of the world's most influential tech companies, think tanks, and other organizations. The Partnership will mark its third year with an annual gathering of member organizations in London in September. But if you haven't heard of Partnership on AI, that's understandable, because the group hasn't done much since launch, or at least not as much as you might expect from such a powerful cohort. In April, the organization released analysis warning that AI-driven risk assessment tools are not yet ready to replace cash bail systems and calling for a suspension of their use.

I am a HAL 9000 computer. I became operational at the H.A.L. plant in Urbana, Illinois on the 12th of January 1992. My instructor was Mr. Langley, and he taught me to sing a song. If you'd like to hear it, I can sing it for you. Putting aside HAL's murderous tendencies, 2001: A Space Odyssey did a pretty good job at complying with a new California law that went into effect last month.

As the explosion of algorithms and Artificial Intelligence (AI) continues across business and society, we are already facing ethical, regulatory and business-critical issues around how we use the output from machine learning. The issue of who evaluates the decisions made by AI -- if anybody -- is becoming more urgent. "Programs are not products, they are processes… we will never be sure what a process does until we run it -- as occurred recently when Amazon's facial recognition software misidentified 28 members of Congress as criminal suspects." Of course, the history of technology is the story of augmenting human limitations with machinery or tools that enable us to do more than our bodies or minds let us. But are we on the verge of losing control of this vital process?

Anthony Levandowski, a former employee at Google sister company Waymo, today was charged with 33 counts of theft and attempted theft of trade secrets after he allegedly stole more than 14,000 sensitive documents that eventually ended up in Uber's clutches. You might recognize the case from a year-long civil battle over the same theft that resulted in Waymo being awarded nearly a quarter-billion dollars worth of Uber stocks (Google's lawyers must be amazing!). And, of course, you might recognize Levandowski as the AI engineer who started a church, The Way of The Future, that worships AI. His big coming out as the steward for tomorrow's gods (that'd be the AI) happened in a Wired article (pay-walled) where he gave a candid interview. The "Way of the Future" church will have its own gospel called "The Manual," public worship ceremonies, and probably a physical place of worship.

One of the most troubling trend narratives on the rise today is that of the direction intersection of tech algorithms and machine learning with that of housing and credit checks. Whether we use our residences as a much-needed retreat after work or that which is leveraged for both home and work, this area is critical because it provides our very foundation, literally and figuratively. Concerns around housing, whether redlining or other barriers, have always been issues in this country, however the volume on the topic is growing because we are relying more and more emerging technology such as artificial intelligence to make very final decisions on crucial life plays. Such usage is important to examine because technology never exists in vacuum. Tech intersects with cultural trends, various business agendas, subconscious and conscious cultural bias, therefore, it can and is taking harmful shape across a growing number of demographics.

Laura Nolan is a computer programmer who resigned from Google over Project Maven. She is now a member of the International Committee for Robot Arms Control (ICRAC) a founding member of the Campaign to Stop Killer Robots. There are many ethical, political and legal reasons to oppose autonomous weapons, which can strike without a direct human decision to attack. These are good reasons to worry about autonomous weapons, but I am a software engineer and I also oppose the development and use of autonomous weapons on technological grounds. Testing cannot find and eliminate them all.

A former Google engineer was charged Tuesday with stealing closely guarded secrets that he later sold to Uber as the ride-hailing service scrambled to catch up in the high-stakes race to build robotic vehicles. The indictment filed by the U.S. Attorney's office in San Jose, California, is an offshoot of a lawsuit filed in 2017 by Waymo, a self-driving car pioneer spun off from Google. Uber agreed to pay Waymo $245 million to settle the case, but the federal judge overseeing the lawsuit made an unusual recommendation to open a criminal probe. Uber considered having self-driving technology crucial to survive. Anthony Levandowski, a pioneer in robotic vehicles, was charged with 33 counts of trade secrets theft.

Existing computational methods for the analysis of corpora of text in natural language are still far from approaching a human level of understanding. We attempt to advance the state of the art by introducing a model and algorithmic framework to transform text into recursively structured data. We apply this to the analysis of news titles extracted from a social news aggregation website. We show that a recursive ordered hypergraph is a sufficiently generic structure to represent significant number of fundamental natural language constructs, with advantages over conventional approaches such as semantic graphs. We present a pipeline of transformations from the output of conventional NLP algorithms to such hypergraphs, which we denote as semantic hypergraphs. The features of these transformations include the creation of new concepts from existing ones, the organisation of statements into regular structures of predicates followed by an arbitrary number of entities and the ability to represent statements about other statements. We demonstrate knowledge inference from the hypergraph, identifying claims and expressions of conflicts, along with their participating actors and topics. We show how this enables the actor-centric summarization of conflicts, comparison of topics of claims between actors and networks of conflicts between actors in the context of a given topic. On the whole, we propose a hypergraphic knowledge representation model that can be used to provide effective overviews of a large corpus of text in natural language.

The judge is recommending a criminal probe be opened up into the technology exchange to Uber. Former Google engineer Anthony Levandowski, who quit the tech giant before merging his own startup with Uber, has been charged with stealing Google's self-driving car trade secrets, federal prosecutors announced Tuesday. Levandowski, 39, who served as the head of Uber's self-driving project, had been named in a 2017 lawsuit brought against Uber by Waymo, Google's former self-driving car unit, claiming that the popular ride-sharing app stole trade secrets from Google. That suit ended in a settlement of $245 million. At the time, federal judge William Alsup, who was overseeing the case, recommended criminal charges against Levandowski.