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While expressing strong support for AI research, Mitchell has expressed concern about AI's vulnerability to hacking as well as its ability to inherit social biases. On artificial general intelligence, Mitchell states that "commonsense knowledge" and "humanlike abilities for abstraction and analogy making" might constitute the final step required to build superintelligent machines, but that current technology is not close to being able to solve this problem.[4] Mitchell believes that humanlike visual intelligence would require "general knowledge, abstraction, and language", and hypothesizes that visual understanding may have to be learned as an embodied agent rather than merely viewing pictures.[5]

While expressing strong support for AI research, Mitchell has expressed concern about AI's vulnerability to hacking as well as its ability to inherit social biases. On artificial general intelligence, Mitchell states that "commonsense knowledge" and "humanlike abilities for abstraction and analogy making" might constitute the final step required to build superintelligent machines, but that current technology is not close to being able to solve this problem.[4] Mitchell believes that humanlike visual intelligence would require "general knowledge, abstraction, and language", and hypothesizes that visual understanding may have to be learned as an embodied agent rather than merely viewing pictures.[5]

虽然梅拉妮·米歇尔强烈支持人工智能的研究，但她也表达了对人工智能易受黑客攻击以及其继承社会偏见(我的理解是人工智能受学习资料的影响，如果学习资料中存在偏见，他就会继承这种偏见，自己不会做判断)的担忧。对于通用人工智能，梅拉妮·米歇尔指出，“常识知识”和“人类抽象和类比的能力”可能是建造超级智能机器所需的最后一步，但目前的技术还不足以解决这个问题。<ref>{{cite news |title=Fears about robot overlords are (perhaps) premature |url=https://www.csmonitor.com/Books/Book-Reviews/2019/1025/Fears-about-robot-overlords-are-perhaps-premature |accessdate=10 May 2020 |work=Christian Science Monitor |date=25 October 2019}}</ref>梅拉妮·米歇尔认为，像人类一样的视觉智能需要“一般知识、抽象概念和语言”，并假设视觉理解需要作为一种具体化的媒介进行学习，而不仅仅是观看图片。<ref>{{cite news |title=What Is Computer Vision? |url=https://www.pcmag.com/news/what-is-computer-vision |accessdate=10 May 2020 |work=PCMAG |date=9 February 2020 |language=en}}</ref>

虽然梅拉妮·米歇尔强烈支持人工智能的研究，但她也表达了对人工智能易受黑客攻击以及其继承社会偏见（编者理解：人工智能受学习资料的影响，如果学习资料中存在偏见，它就会继承这种偏见，自己不会做判断）的担忧。对于通用人工智能，梅拉妮·米歇尔指出，“常识知识”和“人类抽象和类比的能力”可能是建造超级智能机器所需的最后一步，但目前的技术还不足以解决这个问题。<ref>{{cite news |title=Fears about robot overlords are (perhaps) premature |url=https://www.csmonitor.com/Books/Book-Reviews/2019/1025/Fears-about-robot-overlords-are-perhaps-premature |accessdate=10 May 2020 |work=Christian Science Monitor |date=25 October 2019}}</ref>梅拉妮·米歇尔认为，像人类一样的视觉智能需要“一般知识、抽象概念和语言”，并假设视觉理解需要作为一种具体化的媒介进行学习，而不仅仅是观看图片。<ref>{{cite news |title=What Is Computer Vision? |url=https://www.pcmag.com/news/what-is-computer-vision |accessdate=10 May 2020 |work=PCMAG |date=9 February 2020 |language=en}}</ref>