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Forbes
"Machines Like Us provides a fresh perspective on potential areas of research, courtesy of two scientists who have been deeply involved in artificial intelligence since the 1970s."
Ben Dickson, TechTalks
In Machines like Us, Brachman and Levesque imagine a world where proactive explainability and trust are at the forefront of any AI system, arguing that programming commonsense knowledge and reasoning into AI is imperative. Without the ability to react to the unexpected, AI systems can not only prove futile in critical moments but also present major risks to human safety.
TechTarget
Forbes
"Machines Like Us provides a fresh perspective on potential areas of research, courtesy of two scientists who have been deeply involved in artificial intelligence since the 1970s."
Ben Dickson, TechTalks
In Machines like Us, Brachman and Levesque imagine a world where proactive explainability and trust are at the forefront of any AI system, arguing that programming commonsense knowledge and reasoning into AI is imperative. Without the ability to react to the unexpected, AI systems can not only prove futile in critical moments but also present major risks to human safety.
TechTarget