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The Social Science of AI: Intel’s Elizabeth Anne Watkins

2023/6/20
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Elizabeth Anne Watkins: 英特尔在人工智能领域拥有独特的视角，正在进行许多引人入胜的工作。其研发的M.A.R.I.E.系统旨在通过多模态技术（计算机视觉、音频感知和自然语言处理）辅助工厂技术人员完成复杂的半导体制造流程，而非取代他们。该系统的设计核心是增强人类专家的能力，因为人类在处理复杂且动态的制造过程中具有不可替代的判断力和专业知识。M.A.R.I.E.采用了一种创新的AI部署方式，通过与专家合作，在部署过程中收集并标注数据，从而解决AI开发中数据收集的难题。在开发过程中，社会科学扮演着重要角色，通过与技术人员的沟通，了解他们的需求和顾虑，改进系统设计，并促进人机协作。英特尔重视用户体验和社会结构，在AI工具开发中融入社会科学，以确保工具能够更好地适应用户的需求和生活环境。英特尔通过促进技术团队与社会科学家的沟通，以及建立道德影响评估流程和负责任AI委员会，将伦理价值观融入AI工具的开发过程中。 Sam Ransbotham 和 Sherwin Kodubande: 两位主持人与Elizabeth Anne Watkins就其在英特尔的工作，以及英特尔如何利用AI技术改进半导体制造流程进行了深入探讨，并对AI技术在人机协作中的应用和挑战进行了分析。 Sam Ransbotham: 对AI技术如何更好地服务于人类，以及如何避免AI取代人类工作提出了疑问，并探讨了如何将AI作为人类的同事，而非替代品。 Sherwin Kodubande: 与Sam Ransbotham一起，就AI技术在人机协作中的应用和挑战进行了探讨，并关注了如何平衡AI和人类的能力，以及如何确保AI技术能够更好地服务于人类。

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Elizabeth Ann Watkins discusses her role at Intel Labs and how the company is integrating social science into AI development to better understand and serve end users.

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When Elizabeth Anne Watkins started her doctoral program, she landed a research role studying journalists’ use of security and privacy technologies — but she found the security tools confusing and difficult to use. Today, as a research scientist in the social science of AI at Intel Labs, she advocates for other end users faced with understanding and working with new technologies.

Elizabeth employs social science to understand the concerns of technicians performing complex chip manufacturing processes so that new AI systems will be developed to better serve those human experts. During this process, she also helps the technicians recognize AI’s role as a supporting technology — even a coworker — rather than a human replacement.

She joins this episode to discuss her role as a social scientist working in tech and some of the ways Intel is applying AI technologies like computer vision and natural language processing to improve semiconductor manufacturing processes. Read the episode transcript here).

*Me, Myself, and AI *is a collaborative podcast from MIT Sloan Management Review and Boston Consulting Group and is hosted by Sam Ransbotham and Shervin Khodabandeh. Our engineer is David Lishansky, and the coordinating producers are Allison Ryder and Sophie Rüdinger.

Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders) or by following Me, Myself, and AI on LinkedIn).

Guest bio:

Elizabeth Anne Watkins is a research scientist in the Social Science of Artificial Intelligence at Intel Labs and a member of Intel’s Responsible AI Advisory Council, where she applies social science methods to amplify human potential in human-AI collaboration. Her research on the design, deployment, and governance of AI tools has been published in leading academic journals and has been featured in Wired, MIT Technology Review, and Harvard Business Review. She was previously a postdoctoral fellow at Princeton and has a doctorate from Columbia University and a master’s degree from MI

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