Artificial intelligence has already started to shape our lives in ubiquitous and occasionally invisible ways. In its new documentary, In The Age of AI, FRONTLINE examines the promise and peril this technology. AI systems are being deployed by hiring managers, courts, law enforcement, and hospitals -- sometimes without the knowledge of the people being screened. And while these systems were initially lauded for being more objective than humans, it's fast becoming clear that the algorithms harbor bias, too. It's an issue Joy Buolamwini, a graduate researcher at the Massachusetts Institute of Technology, knows about firsthand. She founded the Algorithmic Justice League to draw attention to the issue, and earlier this year she testified at a congressional hearing on the impact of facial recognition technology on civil rights. "One of the major issues with algorithmic bias is you may not know it's happening," Buolamwini told FRONTLINE.

Newswire) GBT Technologies Inc. (OTCPINK: GTCH) ("GBT", or the "Company"), a company specializing in the development of Internet of Things (IoT) and Artificial Intelligence (AI) enabled networking and tracking technologies, including its GopherInsight wireless mesh network technology platform and its Avant! AI, for both mobile and fixed solutions, announced that is now working on Graph Neural Network (GNN) based autonomous machine algorithms development, as part of the research to enhance its Avant! AI systems lend themselves to practical applications. AI is a computer hardware and software system that is able to perform tasks that normally require human intelligence; it is based on machine learning technology and is capable of being trained with a data set. GBT is now developing a set of algorithms within Avant! that are leveraging neural nets to process a huge amount of data, specifically for autonomous machines applications.

On the first episode of the final season of HBO comedy series Silicon Valley, tech startup engineer Bertram Gilfoyle lets an AI version of himself take over his instant messaging duties. "Do you need the real me for this conversation?" he asks his colleague. It may sound extreme, but the existence of spellcheckers predates the personal computer by a decade. Since 1992, grammar checking has also come as standard in word processors. For the better part of a generation, we've been OK with robots watching and correcting our language, occasional run-ins with Clippy aside.

In late 2018, Amazon discontinued the use of their AI-based recruitment system because they found that it was biased against women. According to sources close to the matter, the tool gave low ratings to resumes with the terms "woman" or "women's" in applications for technical roles, and went as far as downgrading applicants from two all-women's colleges. This problem is not new. In 2003, the National Bureau of Economic Growth (NBER) conducted an experiment to track the presence of racial bias in hiring. In the test, they sent out two sets of fictitious resumes with identical information about education and experience.

Increased adoption of cloud applications, such as Dropbox and Google Drive, by private users has increased concern about use of cloud information for cybercrimes such as child exploitation, illegal drug trafficking and illegal firearm transactions. Researchers at Purdue University have developed a cloud forensic model using machine learning to collect digital evidence related to illegal activities on cloud storage applications. "It is crucial to detect illegal cloud activities in motion," said Fahad Salamh, a Ph.D. student in the Purdue Polytechnic Institute, who helped create the system. "Our technology identifies and analyzes in real time incidents related to these cybercrimes through transactions uploaded to cloud storage applications." Salamh worked on the technology with Marcus Rogers and Umit Karabiyik, professors in Polytechnic who specialize in computer and information technology.

In my last column, I humbly welcomed our robot lawyer overlords. After it was published, a number of people called me out on social media and chastised me for joining sides with the robots so willingly. It would seem that they were decidedly unfamiliar with the well-known meme to which I referred. Well, rest assured dear readers, I have every intention to resist any and all invading robot overlords unless and until I feel that resistance will be futile, at which point I plan to blindly welcome them. And, judging by the results of two recent technology surveys, my fellow lawyers are in my corner when it comes to resisting the robot lawyers who've come to steal their jobs.

In my last column, I humbly welcomed our robot lawyer overlords. After it was published, a number of people called me out on social media and chastised me for joining sides with the robots so willingly. It would seem that they were decidedly unfamiliar with the well-known meme to which I referred. Well, rest assured dear readers, I have every intention to resist any and all invading robot overlords unless and until I feel that resistance will be futile, at which point I plan to blindly welcome them. And, judging by the results of two recent technology surveys, my fellow lawyers are in my corner when it comes to resisting the robot lawyers who've come to steal their jobs.

Innovate UK, part of UK Research and Innova@on, will invest up to £25 million in the best game-changing, innova@ve or disrup@ve ideas with a view to commercialisa@on. This compe@@on provides funding for innova@ve research and development (R&D) from feasibility (including market research), through to technology or prototype tes@ng and development stages up to (but not including) commercialisa@on. All proposals must be business focused, rather than pure research. Applica@ons can come from any area of technology (including arts, design, media or crea@ve industries), science or engineering and be applied to any part of the economy. READ MORE 4. Funding Enabling Data Access in Accountancy, Insurance and Legal Services: Innova,on Lab Deadline: noon, 20th November UKRI/ Innovate UK has just launched a new funding compe@@on as part of the Industrial Strategy Next Genera@on Services Challenge: Up to £3.5 million will be awarded to projects developing data access methods to enable the applica@on of ar@ficial intelligence (AI) and data technologies in the accountancy, insurance and legal services sector.

The Annual Tech Survey of the International Legal Technology Association (ILTA) is being released, and the US-based organisation has very kindly allowed Artificial Lawyer to publish one of the more AI-related snapshots from its survey across 537 law firms. The key finding is that 54% of those who responded to this part of the survey said they were not pursuing some type of AI / machine learning option. And that is real progress. As seen in the table below, which ILTA has allowed to be shared today, the reality is that it's a clear minority of just 10% that have'one or more AI/ML tools in production'. WHAT IS YOUR FIRM'S CURRENT STRATEGY ON ARTIFICIAL INTELLIGENCE/MACHINE LEARNING (AI/ML)?

FRONTLINE investigates the promise and perils of artificial intelligence, from fears about work and privacy to rivalry between the U.S. and China. The documentary traces a new industrial revolution that will reshape and disrupt our lives, our jobs and our world, and allow the emergence of the surveillance society. In order to foster a civil and literate discussion that respects all participants, FRONTLINE has the following guidelines for commentary. Readers' comments that include profanity, obscenity, personal attacks, harassment, or are defamatory, sexist, racist, violate a third party's right to privacy, or are otherwise inappropriate, will be removed. Entries that are unsigned or are "signed" by someone other than the actual author will be removed.