Can We Trust AI?
Rama Chellappa
Can We Trust AI?
Rama Chellappa
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Description
—Inside Higher Ed
Drawing on interviews with researchers pushing the boundaries of AI for the world's benefit and working to make its applications safer and more just, Can We Trust AI? responds with a qualified affirmative.
—Inside Higher Ed
In Can We Trust AI?, Chellappa explores both the promise and peril of AI. For readers searching for an understanding how AI came to be...Chellappa situates AI in an historical context that is thorough, and thoroughly fascinating. Most refreshing is his current assessment of AI that dispels the hype of AI's world takeover....Chellappa gracefully moves among AI's past, present, and future.
—Technical Communication
Rama Chellappa, PhD, is a pioneering researcher and inventor in the fields of artificial intelligence, computer vision, and machine learning. A Bloomberg Distinguished Professor in electrical, computer, and biomedical engineering, he is also a member of the Johns Hopkins Center for Imaging Science, the Center for Language and Speech Processing, the Institute for Assured Autonomy, and the Mathematical Institute for Data Science. A Fellow of the Association for the Advancement of Artificial Intelligence, the Institute for Electrical and Electronics Engineers, and the National Academy of Inventors, Dr. Chellappa holds eight patents. He is a member of the National Academy of Engineering and the recipient of the 2020 IEEE Jack S. Kilby Medal for Signal Processing. His work has been featured by the Associated Press, the BBC, and Popular Science (Discovery Channel). Eric Niiler (CHEVY CHASE, MD) is a science writer for The Wall Street Journal and an adjunct faculty member in the Johns Hopkins University Graduate Program in Science Writing. His work has appeared in WIRED, National Geographic, The Washington Post, and on NPR and BBC/PRI's The World.