A study that used artificial intelligence–generated content to "participate" in online discussions and test whether AI was more successful at changing people's minds than human-generated content has caused an uproar because of ethical concerns about the work. This week some of the unwitting research participants publicly asked the University of Zürich (UZH), where the researchers behind the experiment hold positions, to investigate and apologize. "I think people have a reasonable expectation to not be in scientific experiments without their consent," says Casey Fiesler, an expert on internet research ethics at the University of Colorado Boulder. A university statement emailed to Science says the researchers--who remain anonymous--have decided not to publish their results. The university will investigate the incident, the statement says.

The Chan Zuckerberg Initiative (CZI), the philanthropic organization created in 2015 by Priscilla Chan and her husband Mark Zuckerberg, announced a bold new generative AI initiative today. The group is funding and building a high-end GPU cluster that will use AI to create predictive models of healthy and diseased cells; it hopes they'll help researchers better understand the human body's cells and cellular reactions. The group believes the collection of computers will help it achieve its incredibly lofty goal of helping to "cure, prevent, or manage all diseases by the end of this century." "Researchers are gathering more data than ever before about the trillions of cells within our bodies, and it's too complex for our brains to grapple with," Jeff MacGregor, CZI vice president of communications, wrote in an emailed statement to Engadget. He lists an example of imaging one cell at nanometer resolution, which would use the same amount of data as 83,000 photos on a smartphone.

When Jahanzaib Ansari was looking for work in 2016, his resume was not the problem. Despite a CV boasting experience as a programmer and attending the University of Toronto, Ansari's job search soon hit a dead end. At the suggestion of a friend, he changed his first name on his resume and saw almost immediate results. "I wouldn't hear back from employers until my [colleague] said, 'Why don't you just Anglicize it?' I went with variations of Jason, Jordan, Jacob, and literally in four to six weeks, I got a job," says the CEO of Knockri, a technology firm that created an artificial intelligence tool that aims to reduce bias in the hiring process.

A survey of upcoming tech trends carried out for our new Shipping in 2030 magazine, published in association with MacGregor, has a strong focus on ship performance. The maritime technology outlook for the coming years is very much about vessel optimisation according to a survey of owners, operators and managers carried out by this title. The fragmented nature of the tech providers and the naturally conservative, cost-conscious shipowning set will put the brakes on any huge technology changes. We're seeing the creation of the integrated digital ship "The obvious first driver this year is technology that can deliver genuine fuel savings, lower emissions and better vessel performance," says Tore Morten Olsen, president of maritime at Marlink. In support of that, Olsen says simplified data collection for efficiency and compliance is increasingly vital.

Recruiters have a bias problem. A 2017 meta study from Northwestern, Harvard, and the Institute of Social Research in Norway found that hiring prejudice against black candidates hasn't changed in the last 25 years, and that Latinos have only seen a "moderate" drop. It is not just races and ethnicities that employers are discriminating against -- according to a recent paper authored by Harvard and Stanford researchers, women earn 78 cents on the dollar compared to men and are less likely to advance to the top of their fields. The solution, Caitlin MacGregor says, is artificial intelligence. She's the CEO and founder of Waterloo, Ontario-based Plum.io, a hiring platform that emphasizes "raw talent," as opposed to skills and knowledge.

In our high-vocational stress household, the most volcanic tension usually erupts over control of the PlayStation. I'm still – still – absorbed in the game of Fallout 4 I started a year ago, with thousands of hours spent on perfecting the aesthetics of post-apocalyptic settlement-building. My partner prefers a wordless immersion in the splattery worlds of first-person shooters and war games but we reconcile over rounds of two-player Diablo, fighting demons and hoarding treasure together. I've come a long way from the handheld Donkey Kong I cherished as a child, or the Pitfall caves I explored on a home PC, or the small parties of teens that gathered to play Sonic the Hedgehog on the loungeroom TV. The demands of fun are more complex now – but the need for fun remains the same.

The story that the only job in the future will be for one person who feeds a dog who watches all the robots isn't really true – there are plenty of jobs if you have what it takes to work with machines that know how to think. Augmented or artificial intelligence (AI) is taking over factory work, manual labour and most recently, a lot of the intuitive, judgment-requiring work needed in professions such as law, medicine, pharmacy and finance. AI still needs lots of humans to make it work and enhance its abilities, though – programmers, developers, managers and marketers, for example. Ironically, companies are now harnessing the powers of AI to help recruit and hire the right people to work with machine learning. And perhaps just as ironically, one of the key qualities it takes to work in AI is the human version of intelligence.

A committee of MPs has condemned police for continuing to upload custody photographs, including of people never charged, to a face recognition database, despite a high court judgement that ruled the practice was unlawful. In a report into use of biometric data, the Commons Science and Technology Committee said it was "dismayed" to learn that more than 12m photographs had been entered into the Police National Database without proper testing or oversight. It also noted that current practice appeared to flout a high court ruling from 2012 that said the contemporary policy of retaining custody photographs was unlawful. Some forces, including the Met, have stopped putting images on the national database until the law is clarified. But others have continued to upload photographs in the absence of any national guidance.

In this paper we discuss an elaboration account of insight that provides answers to two of the main questions regarding insight problem solving: why insight problems are so difficult for humans and why insight is so rapid in nature. We claim that the difficulty in insight problems is due to misguided heuristic search and that this difficulty is overcome using a reformulation mechanism. Furthermore, we claim that search is carried out quickly when the heuristics are good--explaining the rapid nature of insight. We clarify our account by providing examples and initial empirical results. In conclusion, we review related work and discuss possible future work.

Dartnall, Terry, see Kim, Steven Davis, Randall; Shrobe, Howard; and Szolovits, Peter. What Is a Knowledge 1992 AAAI Robot Exhibition and Competition Leonard, Lisa. Dean, Thomas; and Bonasso, R. Capture and Use, The, see Lee, Jintae Technologies, see Barachini, Franz Cannel Versus Flakey: A Comparison of Dean, Tom, see Joskowicz, Leo. Reasoning Dorr, Bonnie J. Building Lexicons for see Tanner, Steve with Diagrammatic Representations: A Machine Translation: 1993 Spring Anick, Peter; and Simoudis, Evange-Report on the Spring Symposium. Retrieval: 1993 Spring Symposium Charniak, Eugene, see Goldman, Drummond, Mark, see Lansky, Amy Report.