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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.

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100 episode

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iconBagikan
 
Manage episode 442808982 series 3593224
Konten disediakan oleh HCI Podcast Network. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh HCI Podcast Network atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang diuraikan di sini https://id.player.fm/legal.

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

100 episode

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