Earlier this month, Sony AI released a dataset that establishes a new benchmark for AI ethics in computer vision models. The research behind the dataset, named Fair Human-Centric Image Benchmark (FHIBE), has been published in Nature . FHIBE is the first publicly-available, globally-diverse, consent-based human image dataset (inclusive of over 10,000 human images) for evaluating bias across a wide variety of computer vision tasks. We sat down with project lead, Alice Xiang, Global Head of AI Governance at Sony Group and Lead Research Scientist for AI Ethics at Sony AI, to discuss the project and the broader implications of this research. Could you start by introducing the project and taking us through some of the main contributions?

Sony AI and Polyphony Digital have released Gran Turismo Sophy, a hyper-realistic AI racing agent for Gran Turismo 7. The agent is based on research by Sony's AI researchers and Polyphony Digital's developers and it fits Gran Turismo's mission of being the most realistic racing simulation game. The PlayStation 5 agent was trained on a neural network and moved from a research project to its commercial release after two years of work. It learns the best way to drive through reinforcement training, and then it's ready to take on humans. The aim isn't just to put on a good show, as with many racing games. The mission is to create AI that will challenge and even beat the best human racers. "For the first time, actually, this is a really competitive AI.

A pivotal moment in my early career as a Ph.D. student at Carnegie Mellon University was when I saw a demonstration of the first soccer-playing robots in the summer of 1994. They were from Alan Mackworth's lab at the University of British Columbia, and I became immediately inspired to try to understand the intelligence required to play soccer. At the time, most AI researchers were focused on much more abstract planning tasks, or short-time-duration skills for individual robots. I saw the opportunity to use the game of soccer to, for the first time, investigate new methods for enabling collaborative (with teammates) and adversarial (against opponents) multi-robot planning in relatively complex domains. It so happened that one of the few other people in the world at the time who was thinking about robot soccer as a challenge domain for AI was Hiroaki Kitano at Sony (currently the CTO of Sony and CEO of Sony AI).

I got my undergraduate degree from MIT in mechanical engineering. I didn't feel ready to be an engineer, so I went to the University of Michigan to get a Masters degree in mechanical engineering. Along the way, I got a job programming at the university, and eventually decided to go back to school and get a Ph.D. in computer science. From there, I became a professor in the Computer Science Department at North Carolina State. In 2004, as I went up for tenure, my roommate from my undergraduate days at MIT came up with an idea for a robotic warehouse system, and convinced me to help him start what became Kiva Systems.

Last week OpenAI moved DALL-E 2, the image generation tool, into Beta (the company hopes to expand its current user base to 1 million) while granting users the "the right to reprint, sell, and merchandise" images they generate with DALL-E. This is useful for users who wish to use the generated images for commercial purposes, like making illustrations for children's books. Other openly available AI image generation models face similar problems. Also, it's not clear if OpenAI violated any IP laws for just training on these Internet images and then commercializing their model. While the UK is exploring allowing commercial use of models trained on public but trademarked data, the U.S. may not follow suit.

People often think of artificial intelligence as just code – cold, lifeless and objective. In important ways, however, AI is more like a child. It learns from the data it is exposed to and optimises based on objectives that are established by its developers, who in this analogy would be its'parents'. Like a young child, AI doesn't know about the history or societal dynamics that have shaped the world to be the way it is. And just as children sometimes make strange or inappropriate remarks without knowing any better, AI learns patterns from the world naively without understanding the broader sociotechnical context that underlies the data it learns from.

Artificial intelligence (AI) has been developed that learns ingredients in ingredients and creates new recipes by composing combinations. An artificial intelligence (AI) that learns ingredients in ingredients and creates new food recipes by composing combinations has been developed. Kang Jae-woo, a professor of computer science at Korea University, announced on the 29th that, in collaboration with Sony AI, a subsidiary of Sony, a Japanese electronics company, the research team developed an AI that recommends the optimal combination of ingredients by using the characteristics of chemical ingredients in ingredients and big data from market recipes. This is the flavor graph developed by the research team. It connects ingredients by combining chemical molecular information and recipes.

Hyper-capable AIs have been beating us at our own games for years. Whether it's Go or Jeopardy, DOTA 2 or Nethack, artificial intelligences have routinely proven themselves superior competitors, helping advance not only the state of gaming arts but also those of machine learning and computational science as well. On Wednesday, Sony announced its latest addition to the field, GT Sophy, an AI racer capable of taking on -- and beating -- some of the world's best Gran Turismo players. GT Sophy (the GT stands for "Gran Turismo") is the result of a collaboration between Sony AI, Polyphony Digital (PDI) and Sony Interactive Entertainment (SIE), as well as more than half a decade of research and development. "Gran Turismo Sophy is a significant development in AI whose purpose is not simply to be better than human players, but to offer players a stimulating opponent that can accelerate and elevate the players' techniques and creativity to the next level," Sony AI CEO, Hiroaki Kitano, said in a statement Wednesday.

Japanese electronics giant Sony today announced the establishment of Sony AI to "unleash human imagination and creativity with AI. This new organization, with offices globally in Japan, Europe, and the United States, will advance fundamental research and development of AI (artificial intelligence). Sony AI will drive the research and development of AI in both physical and virtual space through multiple world-class flagship projects as well as other explorative research projects, including AI ethics. Initially, Sony AI will launch three flagship projects in the areas of gaming, imaging & sensing, and gastronomy. But the Japanese electronics giant wants to play a bigger role in the food industry. "AI and robotics will not replace chefs.

Sony Corp. has launched Sony AI, a new organization to pursue advanced R&D in artificial intelligence. With this move, the Japanese consumer electronics giant intends to go head-to-head with Google and Facebook, competing for AI talent and projects, and targeting a much bigger role in an ever-accelerating global AI race. The new organization will be worldwide from day one, with research sites in Tokyo, Austin, Texas, and an unnamed city in Europe. Sony AI will formally start operation next month. Hiroaki Kitano, president and CEO, Sony Computer Science Laboratories, Inc., will run Sony AI globally.