After a high-speed chase north of Orlando, Fla., sheriff's deputies punctured the tires of a stolen Dodge Magnum and brought it to a stop. They arrested the driver, but couldn't determine who he was. The man had no identification card. He passed out after stuffing something into his mouth. And his fingerprints, the deputies reported, appeared to have been chewed off.

Stuart Russell is a distinguished artificial intelligence researcher, a Professor of Computer Science at the University of California, Berkeley, an Adjunct Professor of Neurological Surgery at the University of California, San Francisco, and leads the Center for Human-Compatible Artificial Intelligence at UC Berkeley. Along with Peter Norvig, Stuart is the author of Artificial Intelligence: A Modern Approach, the most widely used textbook on artificial intelligence. In his most recent book, Human Compatible: AI and the Problem of Control, Stuart proposes a fundamentally new approach to developing AI. In this interview, Stuart warns that AI is reshaping society in unintended ways. For example, social media content selection algorithms that choose what individuals watch and read do not even know that human beings exist. As AI becomes more capable, he suggests that we are going to see bigger failures unless we change the way we think about AI altogether. Stuart argues that to ensure AI is provably beneficial for human beings, we must design machines to be inherently uncertain about human preferences. This way, we can ensure they are humble, altruistic, and committed to pursuing our objectives even as they set their own goals. We also discuss why AI needs regulation similar to civil engineering and medicine, the impact AI is going to make over the next decade, autonomous vehicles, and a variety of other topics.

German engineering company Robert Bosch GmbH is using artificial intelligence to reduce the risk of hackers tricking cars electronic systems into misinterpreting road signs. Engineering company Robert Bosch is deploying artificial intelligence (AI) to fortify cars' electronic systems against hackers who attempt to feed the systems intentionally incorrect road-sign information. Road-sign standardization makes traffic-sign recognition technology well-suited to machine learning and deep learning image-identification algorithms, but malefactors can deceive the algorithms by defacing the signs. Bosch's Michael Bolle said the company has unveiled a computer-vision-based AI process designed to analyze and compare an object from two different perspectives. The findings of deep learning algorithms that identify road signs are checked by computer-vision algorithms, and discrepancies between the readings could indicate spoofing.

Artificial intelligence (AI) represents a powerful but double-edged sword as nations confront global warming, poverty and issues of peace and justice. An international team of scientists this week released a first-ever study of how AI can help--as well as hinder--sustainable development worldwide. Published today in Nature Communications, the analysis focuses on how AI impacts the 17 goals for sustainable development adopted by the United Nations in 2015. The study was co-authored by a diverse group of researchers led by Ricardo Vinuesa and Francesco Fuso Nerini, assistant professors at KTH Royal Institute of Technology. They were joined by Max Tegmark, professor at Massachusetts Institute of Technology (MIT) and author of the bestselling book Life 3.0, as well as Virginia Dignum, professor of AI Ethics at Umeå University, among other authors.

We may not have flying cars, but we could soon have'talking' ones. Elon Musk teased an upcoming Tesla feature that combines external speakers and artificial intelligence, enabling vehicles to'speak' to pedestrians. And the eccentric billionaire said that as well as conversing with pedestrians, drivers could be able to emit a fart noise from the speakers as well. Musk shared a clip of the technology on his personal Twitter page, which highlights a Model 3 driving through the streets and speakers playing'Well don't just stand there staring. 'Teslas will soon talk to people if you want,' he said in the tweet on Saturday. Musk shared a clip of the technology on his personal Twitter page, which highlights a Model 3 driving through the streets and speakers playing'Well don't just stand there staring.

The last decade was a big one for artificial intelligence but researchers in the field believe that the industry is about to enter a new phase. Hype surrounding AI has peaked and troughed over the years as the abilities of the technology get overestimated and then re-evaluated. The peaks are known as AI summers, and the troughs AI winters. The 10s were arguably the hottest AI summer on record with tech giants repeatedly touting AI's abilities. AI pioneer Yoshua Bengio, sometimes called one of the "godfathers of AI", told the BBC that AI's abilities were somewhat overhyped in the 10s by certain companies with an interest in doing so.

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The rise of digital platforms such as Uber, Ola, Zomato, Swiggy and a slew of consumer-facing internet businesses has transformed the way people work, socialise and generate profits. Platform or gig economy has made it possible for customers to access services without actually having to ever interact with the aggregator -- in an ideal scenario. Naturally, the gig economy presents more risks for employers as typically these transient workers do not have robust documentation for background checks and screening. So while gig economy is a real employment opportunity for many unskilled workers, there is a lot of friction in hiring. Questions center around the trust-worthiness of both service providers and customers.

Aidoc, the leading provider of AI solutions for radiologists, today announced that the US Food and Drug Administration (FDA) has cleared its AI solution for flagging Large-Vessel Occlusion (LVO) in head CTA scans, marking Aidoc's fourth FDA-cleared AI package. Combined with Aidoc's previously-cleared AI module for flagging and prioritizing intracranial hemorrhage, together they provide a comprehensive AI package for the identification and triage of both ischemic and hemorrhagic stroke in CTs, speeding time to treatment when every minute counts. "Stroke is the ultimate time-critical condition," said Dr. Marcel Maya, Co-chair Department of Imaging, Cedars-Sinai Medical Center. "The faster we can identify, diagnose and treat it, the better the outcome for patients. Aidoc's comprehensive stroke package flags both large vessel occlusion and hemorrhages inside our existing workflows, ensuring we can diagnose stroke faster and decide on the best course of treatment. We're already seeing how this has a positive impact on department efficiency and patient length of stay."

Tel-Aviv based start-up Aidoc, a leading provider of Artificial Intelligence solutions for radiologists, received US Food and Drug Administration (FDA) clearance for its AI solution that spots strokes (Large-Vessel Occlusion) in the brain during head CTA scans.An LVO is the blockage of vessels in the brain, and according to Ariella Shoham, Aidoc's vice president of marketing, the AI technology "uses deep learning to automatically look at every head CT before a patient has even left the imaging room. "It investigates the images to see if they show blocked blood vessels in the brain or bleeding (intracranial hemorrhages)," she explained. "If one of these time-critical conditions is found, Aidoc re-prioritizes the worklists of radiologists so that the urgent scan is looked at immediately and the patient can be treated quickly."Shoham said that Aidoc already received FDA clearances to identify and flag pulmonary embolism (blockages in the lungs) and cervical spine fractures (broken neck). "Other Aidoc solutions currently in clinical testing include identifying air in the abdomen," she continued. "Altogether, Aidoc is targeting the most common critical life-threatening conditions that make up 80% of all urgent cases on CT scans.