landay
AI Should Complement Humans at Work, Not Replace Them, TIME Panelists Say
Artificial intelligence is widely expected to transform our lives. Leaders from across the sector gathered for a TIME dinner conversation on Nov. 30, where they emphasized the need to center humans in decisions around incorporating the technology into workflows and advocated for governments and industry leaders to take a responsible approach to managing the risks the technology poses. As part of the TIME100 Talks series in San Francisco, senior correspondent Alice Park spoke with panelists Cynthia Breazeal, a pioneer in social robotics and the Dean for Digital Learning at MIT, James Landay, a computer science professor and vice director of the Institute for Human-Centered AI at Stanford University, and Raquel Urtasun, CEO and founder of self-driving tech startup Waabi, which recently put a fleet of trucks into service on Uber Freight's trucking network. The panelists discussed the ethical considerations of AI and the ways in which leaders can ensure its benefits reach every corner of the world. During the discussion, the three panelists highlighted the transformative journey of AI and delved into its profound implications, emphasizing the need for responsible AI deployment.
- Government (0.99)
- Law > Statutes (0.49)
- Transportation > Ground > Road (0.31)
Time to Put Humans Deeper into the AI Design Process - RTInsights
An important part of the process is to bring in people from across disciplines, even if they have conflicting perspectives. A few years back, experts and pundits alike were predicting the highways of the 2020s would be packed full of autonomous vehicles. One glance and it's clear there are still, for better or worse, mainly human drivers out there on the roads, as driverless vehicles have hit many roadblocks. Their ability to make judgements in unforeseen events is still questionable, as is the ability of human riders to adapt and trust their robot drivers. Autonomous vehicles are just one example of the greater need for human-centered design, the theme of the recent Stanford Human-Centered Artificial Intelligence fall conference, in which experts urged more human involvement from the very start of AI development efforts.
Quick Pro Quo: Software Writes Text 3x Faster Than Any Human Can
Earlier this year, we watched a world-renowned Go mastermind get pummeled in a complex game by an artificial intelligence (AI). Now, humans are about to lose in yet another battle with the machines--and this time, it's over typing. There is a speech recognition software that has improved to the point that it is faster and more accurate at producing text than human typists. That's according to researchers from Stanford University and the University of Washington, which ran a study on a new program developed by Chinese internet giant, Baidu. Baidu's Deep Speech 2 is a cloud-based voice recognition software based on a deep learning neural network.
Voice Recognition Software Finally Beats Humans At Typing, Study Finds
Computers have already beaten us at chess, Jeopardy and Go, the ancient board game from Asia. And now, in the raging war with machines, human beings have lost yet another battle -- over typing. Turns out voice recognition software has improved to the point where it is significantly faster and more accurate at producing text on a mobile device than we are at typing on its keyboard. The study ran tests in English and Mandarin Chinese. Baidu chief scientist Andrew Ng says this should not feel like defeat. "Humanity was never designed to communicate by using our fingers to poke at a tiny little keyboard on a mobile phone.
- Asia (0.25)
- North America > United States (0.05)