On Tuesday this week, the U.S. House of Representatives Subcommittees on Research and Technology and Energy invited prominent academics, tech executives, and scientists to talk about the “game-changing” potential and implications of AI, as the hearing charter put it. It touched on a number of topics. Rep. Barbara Comstock (R-VA) sought suggestions from the panel on ways institutions and government might collaborate on AI systems development. Rep. Suzanne Bonamici (D-OR) opined on the ethical dilemmas facing AI. And Rep. Marc Veasey (D-TX) asked earnestly about the potential for “doomsday” scenarios. “To what extent do you think [is it] something we should be concerned about?” he said. The answers to some of those questions lie in transcripts from past hearings. During a House Subcommittee on Information Technology hearing in April, Jack Clark, the director of OpenAI, suggested AI competitions as a way to bring government agencies and AI researchers … [Read more...] about Hearings on AI show Congress has no answers, either
CEOs of artificial intelligence companies usually seek to minimize the threats posed by AI, rather than play them up. But on this week’s episode of Converge, Clara Labs co-founder and CEO Maran Nelson tells us there is real reason to be worried about AI — and not for the reasons that science fiction has trained us to expect. Movies like Her and Ex Machina depict a near future in which anthropomorphic artificial intelligences manipulate our emotions and even commit violence against us. But threats like Ex Machina’s Ava will require several technological breakthroughs before they’re even remotely plausible, Nelson says. And in the meantime, actual state-of-the-art AI — which uses machine learning to make algorithmic predictions — is already causing harm. “Over the course of the next five years, as companies continue to get better and better at building these technologies, the public at large will not understand what it is that is being done with … [Read more...] about How science fiction is training us to ignore the real threats posed by AI
Drive.ai announced a pilot program to bring on-demand self-driving car service to the Dallas suburb of Frisco, Texas, starting in July. Working with the Frisco Transportation Management Association (TMA), Drive.ai will offer rides to over 10,000 people in self-driving vehicles within a geofenced area comprised of retail, entertainment, and office space. The initial pilot will run for six months, beginning with fixed pickup and dropoff locations around Hall Park and The Star locations within the test area. The program marks the first time that Texans will have access to an on-demand self-driving car service on public roads. The project is one of many that are underway, but it also happens amid controversies related the fatal pedestrian crash by a Uber self-driving car in Tempe, Arizona. Uber decided to put its testing on hold after the accident. Leading up to the July launch date, office employees, residents, and patrons of these partners’ Frisco developments … [Read more...] about Drive.ai announces on-demand self-driving car service in Texas
Machines don’t actually have bias. AI doesn’t ‘want’ something to be true or false for reasons that can’t be explained through logic. Unfortunately human bias exists in machine learning from the creation of an algorithm to the interpretation of data – and until now hardly anyone has tried to solve this huge problem. A team of scientists from Czech Republic and Germany recently conducted research to determine the effect human cognitive bias has on interpreting the output used to create machine learning rules. The team’s white paper explains how 20 different cognitive biases could potentially alter the development of machine learning rules and proposes methods for “debiasing” them. Biases such as “confirmation bias” (when a person accepts a result because it confirms a previous belief) or “availability bias” (placing greater emphasis on information relevant to the individual than equally valuable … [Read more...] about Human bias is a huge problem for AI. Here’s how we’re going to fix it
The amount of new technologies in 2017 has been overwhelming: The cloud was adopted faster than analysts projected and brought several new tools with it; AI was introduced into just about all areas of our lives; IoT and edge computing emerged; and a slew of cloud-native technologies came into fruition, such as Kubernetes, serverless, and cloud databases, to name a few. I covered some of these a year ago in my 2017 predictions and it’s now time to analyze the trends and anticipate what will likely happen in the tech arena next year.While we love new tech, the average business owner, IT buyer, and software developer glaze over this massive innovation and don’t know how to start turning it into business value. We will see several trends emerge in 2018, and their key focus will be on making new technology easy and consumable.Integrated platforms and everything becomes serverlessAmazon and the other cloud providers are in a race to gain and maintain market share, so they keep on … [Read more...] about In 2018, can cloud, big data, and AI stand more turmoil?