Fei-Fei Li is a pioneer of modern artificial intelligence (AI). Her work provided a crucial ingredient – big data – for the deep learning breakthroughs that occurred in the early 2010s. Li's new memoir, The Worlds I See, tells her story of finding her calling at the vanguard of the AI revolution and charts the development of the field from the inside. Li, 47, is a professor of computer science at Stanford University, where she specialises in computer vision. She is also a founding co-director of Stanford's Institute for Human-Centered Artificial Intelligence (HAI), which focuses on AI research, education and policy to improve the human condition, and a founder of the nonprofit AI4ALL, which aims to increase the diversity of people building AI systems.

The president speaks after meeting with AI experts in effort to manage its risks. President Biden is expected to discuss artificial intelligence Tuesday afternoon in San Francisco in his first public speech since son Hunter Biden signed a plea deal on federal tax charges. Hunter Biden will plead guilty to two misdemeanor counts of willful failure to pay federal income tax, Fox News learned Tuesday. "Despite owing in excess of $100,000 in federal income taxes each year, he did not pay the income tax due for either year," the U.S. Attorney for the District of Delaware David C. Weiss' office said. He will also enter into a pretrial diversion agreement regarding a separate felony charge of possession of a firearm by a person who is an unlawful user of or addicted to a controlled substance.

SINGAPORE: Who do you think should be responsible when artificial intelligence or algorithms malfunction: The programmer, manufacturer or user? Singapore plans to be a global leader in artificial intelligence (AI) by 2030. This involves, on the one hand, widespread deployment of AI in a variety of settings, and on the other, widespread trust in these AI solutions. Clearly that trust needs to be well-placed, but what does it mean for trust to be well-placed? Certainly, one part of this is AI getting things right reliably often. But that alone is not enough.

The artificial-intelligence (AI) chatbot ChatGPT that has taken the world by storm has made its formal debut in the scientific literature -- racking up at least four authorship credits on published papers and preprints. Journal editors, researchers and publishers are now debating the place of such AI tools in the published literature, and whether it's appropriate to cite the bot as an author. Publishers are racing to create policies for the chatbot, which was released as a free-to-use tool in November by tech company OpenAI in San Francisco, California. AI bot ChatGPT writes smart essays -- should professors worry? ChatGPT is a large language model (LLM), which generates convincing sentences by mimicking the statistical patterns of language in a huge database of text collated from the Internet. The bot is already disrupting sectors including academia: in particular, it is raising questions about the future of university essays and research production.

We still do not live in an Age where Equality, Diversity and Inclusion (EDI) is by default. Instead, bias and discrimination are part of the everyday. Moreover, inequality in income and wealth, which transfers into inequality in opportunity, is rising according to the 2019 UN Global Sustainable Development Report. Sadly, EDI manifests not just in what we see, hear and experience, but also in the judgments made against us. Moreover, this is not confined to the people who are responsible for creating negative experiences.

The reason why I usually don't mix them: I didn't choose what happened to me my first year of grad school at Rochester. I didn't choose what the university's response would be. I wanted a career in science and I want to protect that, so I don't want to do less talking about science because I've spoken out on this issue. But I'm also aware that most people don't get the opportunity, they don't get a platform to speak out. Usually what happens to people that were sexually harassed early in their careers and had their institution retaliate against them is they disappear. I wouldn't feel okay doing nothing.

In Japan, one restaurant is exploring artificial intelligence (AI) robotics technology to enable paralyzed employees to remotely pilot robotic waiters. JPMorgan Chase, Microsoft and Ford are hosting virtual career fairs tailored to the needs of neurodiverse candidates. Enterprise Rent-A-Car integrated braille-reader technology into its reservations system for blind employees. Using AI to increase accessibility at work is one of the Gartner Top 10 strategic predictions for 2020 and beyond. The predictions examine how technology is changing the definition of what it means to be human, and IT leaders must be prepared to adapt in a changing environment.

In Japan, one restaurant is exploring artificial intelligence (AI) robotics technology to enable paralyzed employees to remotely pilot robotic waiters. JPMorgan Chase, Microsoft and Ford are hosting virtual career fairs tailored to the needs of neurodiverse candidates. Enterprise Rent-A-Car integrated braille-reader technology into its reservations system for blind employees. Using AI to increase accessibility at work is one of the Gartner Top 10 strategic predictions for 2020 and beyond. The predictions examine how technology is changing the definition of what it means to be human, and IT leaders must be prepared to adapt in a changing environment.

The digital revolution is disrupting the ways in which health research is conducted, and subsequently, changing healthcare. Direct-to-consumer wellness products and mobile apps, pervasive sensor technologies and access to social network data offer exciting opportunities for researchers to passively observe and/or track patients'in the wild' and 24/7. The volume of granular personal health data gathered using these technologies is unprecedented, and is increasingly leveraged to inform personalized health promotion and disease treatment interventions. The use of artificial intelligence in the health sector is also increasing. Although rich with potential, the digital health ecosystem presents new ethical challenges for those making decisions about the selection, testing, implementation and evaluation of technologies for use in healthcare.

Picture a system that makes decisions with huge impacts on a person's prospects – even decisions of life and death. Imagine that system is complex and opaque: it sorts people into winners and losers, but the criteria by which it does so are never made clear. Those being assessed do not know what data the system has gathered about them, or with what data theirs is being compared. And no one is willing to take responsibility for the system's decisions – everyone claims to be fulfilling their own cog-like function. This is the vision offered to us by Franz Kafka in his 1915 novel, The Trial.