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When you perform a Google search for every day queries, you don't typically expect systemic racism to rear its ugly head. Yet, if you're a woman searching for a hairstyle, that's exactly what you might find. A simple Google image search for'women's professional hairstyles' returns the following: Your questions answered by founders, experts and thought leaders in business, design and tech. Here, you'll find hairstyles, generally done in a professional setting by stylists. It returns what it thinks you're looking for based on contextual clues, citations and link data.

"Every aspect of our lives will be transformed. In short, success in creating AI could be the biggest event in the history of our civilization." From self-driving vehicles to virtual assistants, artificial intelligence (AI) is evolving at a rapid pace. It has the potential for tremendous good – IBM's Watson improving cancer treatment with genomic sequencing as an example. Additionally, AI has been used to bring new art into the world – "Symphonologie" is an orchestra piece created with the help of AI.

On its 250th birthday, November 10, the Rutgers University community statewide will focus on these and many other provocative subjects as it hosts 80 of its alumni, noted for their thought leadership and innovation, for "A Day of Revolutionary Thinking" on the concluding day of activities associated with the university's yearlong celebration of its rich history. The university's special guests – which include a cybersecurity CEO, a biopharmaceutical company founder, a former New Jersey attorney general and an activist-artist – were invited to share their diverse points of view with students and to demonstrate how learning at Rutgers contributed to their successes. In anticipation of their presentations, Rutgers Today invited these innovators to discuss the "Next Big Thing" they envision occurring in their respective fields. Thomas Kennedy, '77, B.S. Electrical and Computer Engineering Given the increase in cybersecurity and the number of everyday items with network connectivity, securing the "internet of things" is imperative, stresses Kennedy, chair and CEO of Raytheon Company, which specializes in defense, civil government and cybersecurity solutions. "This is expanding exponentially with the number of things connected online," he says.

Following his acquittal of murder in the death of his Tinder date Warriena Wright, Australian man Gable Tostee has managed to offend several people. Tostee, 30, is scheduled to appear on an episode of "60-Minutes on the Nine Network" set to air Sunday in which he shares details about the woman's death, BBC News reported Monday. Tostee and Wright, 26, met through the popular dating app while the woman was in New Zealand for vacation. The two returned to his apartment where their argument turned physical. Tostee reportedly locked the woman on the balcony, where she later fell to her death. Following a week-long trial that took place in October, Tostee was found not guilty of manslaughter and murder in Wright's death.

Artificial intelligence has a problem with nuance but that didn't stop it from correctly predicting the outcome of most of the cases An artificial intelligence system has correctly predicted the outcomes of hundreds of cases heard at the European Court of Human Rights, researchers have claimed and, what makes the announcement perhaps even more staggering is that it was right 79% of the time. While AI is increasingly being used in fields such as journalism, law and accountancy critics so far have said no AI would be able to understand the nuances of a legal case, but now, ironically, it might look as if their own case is being undermined. The study, which was conducted by researchers at University College London and the universities of Sheffield and Pennsylvania does not spell an end to lawyers – yet – but it does potentially set AI on the road to becoming judge, jury and, well, you know. "There is a lot of hype about AI but we don't see it replacing judges or lawyers any time soon. What we do think is they'd find it useful for rapidly identifying patterns in cases that lead to certain outcomes," said Dr Nikolaos Aletras, who led the study at UCL. "It could also be a valuable tool for highlighting which cases are most likely to be violations of the European Convention on Human Rights."

We introduce the study of fairness in multi-armed bandit problems. Our fairness definition can be interpreted as demanding that given a pool of applicants (say, for college admission or mortgages), a worse applicant is never favored over a better one, despite a learning algorithm's uncertainty over the true payoffs. We prove results of two types. First, in the important special case of the classic stochastic bandits problem (i.e., in which there are no contexts), we provide a provably fair algorithm based on "chained" confidence intervals, and provide a cumulative regret bound with a cubic dependence on the number of arms. We further show that any fair algorithm must have such a dependence. When combined with regret bounds for standard non-fair algorithms such as UCB, this proves a strong separation between fair and unfair learning, which extends to the general contextual case. In the general contextual case, we prove a tight connection between fairness and the KWIK (Knows What It Knows) learning model: a KWIK algorithm for a class of functions can be transformed into a provably fair contextual bandit algorithm, and conversely any fair contextual bandit algorithm can be transformed into a KWIK learning algorithm. This tight connection allows us to provide a provably fair algorithm for the linear contextual bandit problem with a polynomial dependence on the dimension, and to show (for a different class of functions) a worst-case exponential gap in regret between fair and non-fair learning algorithms

An upcoming TV interview with the Australian man acquitted of the murder of a New Zealand woman during a Tinder date has met with an online backlash. Gable Tostee, 30, was charged after Warriena Wright, 26, fell in 2014 from his balcony in Queensland's Gold Coast. After a high-profile, week-long trial last month, a jury found him not guilty of murder and manslaughter. The Nine Network's 60 Minutes programme has arranged the exclusive interview which will air on 13 November. "I restrained her to stop her from attacking me," Mr Tostee said in a preview of the interview.

The issue of artificial intelligence in law is becoming an increasingly relevant subject. Many legal companies are already using advanced technology to take care of routine work, and now it seems AI is set to deal with legal issues before they ever have a chance to make it to court. Tech company Intraspexion claim to have developed a deep learning system that can alert companies in advance to any risk of having a legal case brought against them. With the average lawsuit costing a company in the US $350,000, it's easy to see the appeal of'preventative law' technology. CEO Nick Brestoff explains that these risks are detectable in company emails and other internal communications that no human would be able to spot, effectively eradicating any vulnerability of companies being served with painfully expensive lawsuits.

Yes, artificial technology is rapidly improving -- and true, AI will invade the legal business before you know it -- but futuristic AI-infused robot lawyers aren't going to replace legal pros anytime soon. AI-based tools and technologies created and customized for legal work are coming for sure, though. AI-enabled software can use pattern recognition and extreme machine learning algorithms to help legal pros work faster. Their capability digest vast amounts of information and interpret it can help you work smarter, too. The time to start thinking about the first wave of AI legal tools is now.