Every time an AI article finds its way to social media there's hundreds of people invoking the terrifying specter of "SKYNET." SKYNET is a fictional artificial general intelligence that's responsible for the creation of the killer robots from the Terminator film franchise. It was a scary vision of AI's future until deep learning came along and big tech decided to take off its metaphorical belt and really give us something to cry about. At least the people fighting the robots in The Terminator film franchises get to face a villain they can see and shoot at. And that makes it difficult to explain why, based on what's happening now, the real future might be even scarier than the one from those killer robot movies.
Ethics will be at the forefront of robotics education thanks to a new University of Texas at Austin program that will train tomorrow's technologists to understand the positive -- and potentially negative -- implications of their creations. Today, much robotic technology is developed without considering its potentially harmful effects on society, including how these technologies can infringe on privacy or further economic inequity. The new UT Austin program will fill an important educational gap by prioritizing these issues in its curriculum. "In the next 10 years, we are going to live more closely alongside robots, and we want to be sure that those robots are fair, inclusive and free from bias," said Junfeng Jiao, associate professor in the School of Architecture and the program lead. "And because the robots we create are reflections of ourselves, it is imperative that technologists receive an excellent ethics education. We want our students to work directly with companies to create practices and technologies that are equitable and fair."
Results released June 16, 2021 – Pew Research Center and Elon University's Imagining the Internet Center asked experts where they thought efforts aimed at ethical artificial intelligence design would stand in the year 2030. Some 602 technology innovators, developers, business and policy leaders, researchers and activists responded to this specific question. The Question – Regarding the application of AI Ethics by 2030: In recent years, there have been scores of convenings and even more papers generated proposing ethical frameworks for the application of artificial intelligence (AI). They cover a host of issues including transparency, justice and fairness, privacy, freedom and human autonomy, beneficence and non-maleficence, freedom, trust, sustainability and dignity. Our questions here seek your predictions about the possibilities for such efforts. By 2030, will most of the AI systems being used by organizations of all sorts employ ethical principles focused primarily on the public ...
The ghost of Edward Teller must have been doing the rounds between members of the National Commission on Artificial Intelligence. The father of the hydrogen bomb was never one too bothered by the ethical niggles that came with inventing murderous technology. It was not, for instance, "the scientist's job to determine whether a hydrogen bomb should be constructed, whether it should be used, or how it should be used." Responsibility, however exercised, rested with the American people and their elected officials. The application of AI in military systems has plagued the ethicist but excited certain leaders and inventors.
After repeatedly warning about the dangers of artificial intelligence, and sparring with fellow tech billionaires on the issue, Elon Musk wants to create AI-powered humanoid robots. Speaking at his electric vehicle company Tesla's first AI Day event in California, Musk gave a preview of the Tesla Bot – a general purpose, bipedal, non-automotive robot. According to Musk, building a humanoid robot is the next logical step for Tesla because it has already become "the world's biggest robotics company." Our cars are semi-sentient robots on wheels. With the full self-driving computer, the inference engine on the car, which we'll keep evolving obviously… neural nets, recognizing the world, understanding how to navigate through the world… it kinda makes sense to put that into a humanoid form.
Health and human services (HHS) agencies often struggle to serve some of society's most needy populations. At many HHS agencies today, tight budgets limit the size of the workforce, even as the volume of caseloads continues to grow. That imbalance makes it hard to provide efficient and effective solutions to address the critical needs of individuals and families, and can leave employees feeling stressed and overworked. Those same employees may also see few opportunities for career development or advancement. High rates of turnover can put a steady stream of inexperienced staff into critical jobs with little training to prepare them.
We've been so worried about whether AI-driven robots will take our jobs that we forgot to ask a much more basic question: will they take our bike lanes? That's the question Austin, Texas, is currently grappling with, and it points to all sorts of unresolved issues related to AI and robots. As revealed in Anaconda's State of Data Science 2021 report, the biggest concern data scientists have with AI today is the possibility, even likelihood, of bias in the algorithms. Leave it to Austin (tagline: "Keep Austin weird") to be the first to have to grapple with robot overlords taking over their bike lanes. If a robot that looks like a "futuristic ice cream truck" in your lane seems innocuous, consider what Jake Boone, vice-chair of Austin's Bicycle Advisory Council, has to say: "What if in two years we have several hundred of these on the road?" If this seems unlikely, consider just how fast electric scooters took over many cities.
At a nondescript building near downtown Chicago, Marc Gyongyosi along with also the small but growing team of IFM/Onetrack.AI have a single principle that rules them: think easy. The words have been written in easy ribbon on a simple sheet of paper that is stuck into a back upstairs wall of the industrial two-story workspace. Sitting at his desk, situated near an oft-used ping-pong table along with prototypes of drones out of his school days suspended overhead, Gyongyosi throws some keys on a notebook to pull grainy video footage of a forklift driver running his car in a warehouse. It had been seized from overhead courtesy of a Onetrack. Artificial intellect is impacting the potential of virtually every business and every individual being. Artificial intelligence has acted as the primary catalyst of emerging technologies such as large statistics, robotics and IoT, and it'll continue to function as a technological innovator for the near future.
After a busy start to the year, regulatory and policy developments related to Artificial Intelligence and Automated Systems ("AI") have continued apace in the second quarter of 2021. Unlike the comprehensive regulatory framework proposed by the European Union ("EU") in April 2021, more specific regulatory guidelines in the U.S. are still being proposed on an agency-by-agency basis. President Biden has so far sought to amplify the emerging U.S. AI strategy by continuing to grow the national research and monitoring infrastructure kick-started by the 2019 Trump Executive Order and remain focused on innovation and competition with China in transformative innovations like AI, superconductors, and robotics. Most recently, the U.S. Innovation and Competition Act of 2021--sweeping, bipartisan R&D and science-policy legislation--moved rapidly through the Senate. While there has been no major shift away from the previous "hands off" regulatory approach at the federal level, we are closely monitoring efforts by the federal government and enforcers such as the FTC to make fairness and transparency central tenets of U.S. AI policy.
"We are finally seeing an inflection point in the industry", says Whipsaw CEO and Principal Designer, Dan Harden as he talks about how robots are slowly entering our households. Back at the beginning of the 2000s, the only robots you could find around the house were probably either toys (RC cars, RoboSapiens), or domestic cleaning robots like the vacuum cleaner or the lawn-mower. Today, home service robots are increasingly becoming an emerging trend, creating a unique new opportunity for designers to establish the identity, personality, form, function, and usability factors of these soon-to-emerge home service robots. "It is one of the most exciting design frontiers since the very founding of our profession", Harden tells Yanko Design. The west has been rather slow in adopting robots in domestic settings (something I often attribute to films like Terminator, iRobot, or Transformers, which haven't really made robots look too friendly), while countries in the east like Japan and China (who haven't been inherently exposed to'evil robots') have traditionally been much more accepting robots in their domestic lives.