Deep learning pioneer Fei-Fei Li on the fundamentals of ethical AI

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Business and IT leaders grappling with how to build an enterprise AI program that is effective and ethical might want take a page from the AI pioneers who invented the technology that sparked the current AI boom: It's not about the tool set. Rather than starting with the goal of building better tools, they began by identifying the kinds of data sets they believed would drive the evolution of better algorithms and techniques. The data sets needed for businesses to create an ethical AI program are no doubt more nuanced and more nebulous than those that drive better AI tools -- in large part because it's unclear what constitutes ethical AI. Still, the approaches used by the world's leading experts to improve AI probably trump simplistic boardroom notions about good vs. bad AI. At the EmTech Digital conference in San Francisco, AI experts from Stanford and Microsoft elaborated on their methods for developing AI that's designed to have a positive rather than a negative impact on the people, processes and organizations it touches.


Deep learning pioneer Fei-Fei Li on the fundamentals of ethical AI

#artificialintelligence

Business and IT leaders grappling with how to build an enterprise AI program that is effective and ethical might want take a page from the AI pioneers who invented the technology that sparked the current AI boom: It's not about the tool set. Rather than starting with the goal of building better tools, they began by identifying the kinds of data sets they believed would drive the evolution of better algorithms and techniques. The data sets needed for businesses to create an ethical AI program are no doubt more nuanced and more nebulous than those that drive better AI tools -- in large part because it's unclear what constitutes ethical AI. Still, the approaches used by the world's leading experts to improve AI probably trump simplistic boardroom notions about good vs. bad AI. At the EmTech Digital conference in San Francisco, AI experts from Stanford and Microsoft elaborated on their methods for developing AI that's designed to have a positive rather than a negative impact on the people, processes and organizations it touches.


Google Cloud chief scientist: 'AI doesn't belong to just a few tech giants in Silicon Valley'

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Silicon Valley may be behind much of the development of AI in the modern world, but it's vital that everyone feel included in the technology, said Fei-Fei Li, Google Cloud chief scientist for AI. "It's time to bring AI together with social science, with humanities, to really study the profound impact of AI to our society, to our legal system, to our organizations, to our society to democracy, to education, to our ethics," Li said. "Again I stress: AI doesn't belong to just a few tech giants in Silicon Valley, and these few companies in Silicon Valley have a responsibility to harness AI for the good of everyone, but they also have the responsibility to work with everybody, recognize we don't know it all, and to include everybody. "This is a historical moment, and we have a tremendous opportunity and responsibility and to really think about how to remedy this problem." Li delivered her remarks today in a discussion with former White House CTO and Shift7 CEO Megan Smith.


Stanford unveils new AI institute, built to create 'a better future for all humanity'

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Amid a worldwide race for supremacy in artificial intelligence, Stanford University on Monday will unveil a new institute dedicated to using AI to build the best-possible future. The Stanford Institute for Human-Centered Artificial Intelligence is co-directed by Fei-Fei Li, a former chief scientist for AI at Google, now a Stanford computer science professor. "The scope and scale of impact of the Age of AI will be more profound than any other period of transformation in our history," Li and co-director John Etchemendy said in an online note about the new institute. "AI has the potential to radically transform every industry and every society." The institute will take advantage of Stanford's strength in a variety of disciplines, including AI, computer science, engineering, robotics, business, economics, genomics, law, literature, medicine, neuroscience and philosophy, according to promotional materials.


5 women advancing AI industry research

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Artificial intelligence (AI) is a rapidly growing industry that's perpetually impressing people with what's possible. Those advancements wouldn't happen without the people working tirelessly to research innovations. Many of the people pushing artificial intelligence forward are male, and that's evidence of a known gender gap associated with the industry. Concentrated efforts are needed to tackle the problem, but it's a situation that could change. The five women here are among those leading the way in AI research and inspiring everyone by their dedication.