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Preparing the Workforce for Ethical, Responsible and Trustworthy AI, by Jonathan H. Westover PhD

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Abstract: This article proposes a holistic multi-pronged strategy for establishing an ethical workforce ready for the rise of AI, beginning with examining the current AI landscape and projections of jobs impacted to understand organizational preparedness needs. Key elements include developing an ethical framework through stakeholder engagement outlining shared principles for responsibility; implementing comprehensive technical and soft-skills training programs; creating new dedicated ethics and data governance roles while expanding existing functions to oversee AI accountability; and integrating metrics and career pathways tied to system and process assessments through an ethical lens to drive cultural normalization. Continuous self-evaluation through qualitative and quantitative metrics aids transparency, justification of investment, and framework improvement. The goal of proactively cultivating stewardship abilities across all functions through values clarification, tailored learning, distributed responsibilities, and self-reflection is positioned as exemplary leadership guiding technology's societal impacts amid workplace transformations from emerging technologies.

  continue reading

101 jaksoa

Artwork
iconJaa
 
Manage episode 442808982 series 3593224
Sisällön tarjoaa HCI Podcast Network. HCI Podcast Network tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.

Abstract: This article proposes a holistic multi-pronged strategy for establishing an ethical workforce ready for the rise of AI, beginning with examining the current AI landscape and projections of jobs impacted to understand organizational preparedness needs. Key elements include developing an ethical framework through stakeholder engagement outlining shared principles for responsibility; implementing comprehensive technical and soft-skills training programs; creating new dedicated ethics and data governance roles while expanding existing functions to oversee AI accountability; and integrating metrics and career pathways tied to system and process assessments through an ethical lens to drive cultural normalization. Continuous self-evaluation through qualitative and quantitative metrics aids transparency, justification of investment, and framework improvement. The goal of proactively cultivating stewardship abilities across all functions through values clarification, tailored learning, distributed responsibilities, and self-reflection is positioned as exemplary leadership guiding technology's societal impacts amid workplace transformations from emerging technologies.

  continue reading

101 jaksoa

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