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AI and Trust in Organizations, by Jonathan H. Westover PhD

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Manage episode 441438456 series 3593224
Kandungan disediakan oleh HCI Podcast Network. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh HCI Podcast Network atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

Abstract: As the use of artificial intelligence (AI) expands in both society and organizations, building and maintaining trust in AI systems is becoming increasingly important. While AI promises benefits like improved efficiency and data-driven decision making, concerns are growing around a lack of transparency, accountability, fairness and control over how data is collected and used. This erosion of trust poses a threat to the widespread adoption of AI. However, the article argues that organizations have an opportunity to proactively build trust through transparent, accountable and fair development and application of AI. Drawing from research findings, it outlines strategies for providing transparency into AI systems and decision making, ensuring accountability in development and deployment, and engaging stakeholders. If implemented, these practices can help alleviate fears, demonstrate a commitment to responsible and ethical use of AI, and gain greater public acceptance and adoption of the technology's potential benefits.

  continue reading

100 episod

Artwork
iconKongsi
 
Manage episode 441438456 series 3593224
Kandungan disediakan oleh HCI Podcast Network. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh HCI Podcast Network atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

Abstract: As the use of artificial intelligence (AI) expands in both society and organizations, building and maintaining trust in AI systems is becoming increasingly important. While AI promises benefits like improved efficiency and data-driven decision making, concerns are growing around a lack of transparency, accountability, fairness and control over how data is collected and used. This erosion of trust poses a threat to the widespread adoption of AI. However, the article argues that organizations have an opportunity to proactively build trust through transparent, accountable and fair development and application of AI. Drawing from research findings, it outlines strategies for providing transparency into AI systems and decision making, ensuring accountability in development and deployment, and engaging stakeholders. If implemented, these practices can help alleviate fears, demonstrate a commitment to responsible and ethical use of AI, and gain greater public acceptance and adoption of the technology's potential benefits.

  continue reading

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