Communications

The raging Australian and Amazon wildfires have raised a burning question for all of us - why the very technology, that has been a major facilitator to human evolution and growth could not predict, manage or control its destruction? To those of us who are in the business of technology, it is time to ask a few tough questions in our boardroom meetings and take ownership of solving the problem. After all, what is growth worth if the planet itself is in peril? As someone who has witnessed the digital revolution unfold, I may not have a full-proof plan to address the climate emergency, in fact, we don't even have the visibility of all evolving technologies that may be required to solve the climate emergency. But, I am clear and convinced that we have to start now and start with the available technologies which in their own right are very powerful and transformational.

New Jersey's attorney general, Gurbir S. Grewal, has instructed prosecutors across the state to stop using Clearview AI, a private facial recognition software. Clearview AI's tools allow law enforcement officials to upload a photo of an unknown person they'd like to identify, and see a list of matches culled from a database of over 3 billion photos. The photos are taken from a variety of controversial sources, including Facebook, YouTube, Twitter, and even Venmo. New Jersey attorney general Gurbir S. Grewal told the state's prosecutor's to stop using Clearview AI, private facial recognition software that he worried might compromise the integrity of the state's investigations Clearview says that anyone can submit a request to the company to have a photo of them removed from its databases, but they must first present proof they own copyright to the photo. Grewal decided to issue the ban after seeing Clearview had used footage from a 2019 sting operation in New Jersey promoting its own services, something even he hadn't been aware of at the time.

To grasp how artificial intelligence will play out in higher education, and how we can strategically address these changes, we should think about how artificial intelligence might unfold over the next few years. In late 2019, professors research, create, critique, and teach various forms of artificial intelligence. Students, staff, and faculty increasingly experience artificial intelligence in digital devices, ranging from autonomous vehicles to software-guided computer game opponents, that are unsupported by the campus IT department. AI capabilities are gradually infusing the services, used by all in the campus community, of powerful computing enterprises such as Google, Amazon, Facebook, and Microsoft. Homegrown experiments are under way on our campuses, while vendors offer AI tools for us to purchase and implement.

Incredible footage shows the moment a British Paralympian swimmer with cerebral palsy stands up and takes her first steps wearing a robotic exoskeleton. Grace Harvey, 21, was able to take the special walk with the help of state-of-the-art technology developed in Japan -- giving her a day she will never forget. In the video, the swimmer from Ware, Hertfordshire, smiled nervously as she took her'first' tentative steps. She went on to giggle when a bystander said'You're running, Grace.' Swimmer Ms Harvey holds the European record for the 200 metre (656 feet) Individual Medley and is presently the British number one in the 100 metre (328 feet) backstroke event. She is currently training in the city of Suzuka, Japan, ahead of the 2020 Tokyo Paralympics in August.

How are artificial intelligence and machine learning transforming the way financial services firms do business, and how can firms ensure they're meeting regulatory expectations? Host Sarah Isted and PwC guests Leigh Bates and George Povall discuss these questions and many more, as we look at how the industry is set to evolve in the coming years.

Sign in to report inappropriate content. Deception is normally conceived as a bad action, since – from a non-technical perspective – it entails the idea of concealing true intentions from another person in order to mislead her. But is it always the case? Can this said to be true even in those new scenarios brought about by the rise of advanced robots and AI systems, or do we need to distinguish different form of deceptions? Gianpaolo Ghilardi (Researcher in Moral Philosophy, Campus Biomedico University, Rome) discusses whether deceiving is always wrong.

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I often use this quote from Isaac Newton in my teaching. AI is a vast and a complex subject. No matter how much you know - you realise that there is really a vast amount more to learn. So, my way of learning a subject as complex and dynamic as AI, is to share my insights. This helps me to refine my own thinking.

The graph represents a network of 4,720 Twitter users whose recent tweets contained "#Industry40", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Sunday, 26 January 2020 at 02:13 UTC. The tweets in the network were tweeted over the 8-day, 1-hour, 49-minute period from Friday, 17 January 2020 at 23:40 UTC to Sunday, 26 January 2020 at 01:29 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

Clearview AI, an artificial intelligence firm providing facial recognition technology to US law enforcement, may be overstating how effective its services are in catching terrorist suspects and preventing attacks, according to a report from BuzzFeed News. The company, which gained widespread recognition from a New York Times story published earlier this month, claims it was instrumental in identifying a New York suspect from video footage who had placed three rice cookers disguised as explosive devices around New York City last August, creating panic and setting off a citywide manhunt. BuzzFeed News found via a public records request that Clearview AI has been claiming in promotional material that law enforcement linked the suspect to an online profile in only five seconds using its database. But city police now say this is simply false. "The NYPD did not use Clearview technology to identify the suspect in the August 16th rice cooker incident," an NYPD spokesperson told BuzzFeed News.