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Контент предоставлен Kieran Gilmurray. Весь контент подкастов, включая эпизоды, графику и описания подкастов, загружается и предоставляется непосредственно компанией Kieran Gilmurray или ее партнером по платформе подкастов. Если вы считаете, что кто-то использует вашу работу, защищенную авторским правом, без вашего разрешения, вы можете выполнить процедуру, описанную здесь https://ru.player.fm/legal.
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Unlocking Responsible AI: AWS's Framework and Ethical Implementation Strategies

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Manage episode 457324775 series 3535718
Контент предоставлен Kieran Gilmurray. Весь контент подкастов, включая эпизоды, графику и описания подкастов, загружается и предоставляется непосредственно компанией Kieran Gilmurray или ее партнером по платформе подкастов. Если вы считаете, что кто-то использует вашу работу, защищенную авторским правом, без вашего разрешения, вы можете выполнить процедуру, описанную здесь https://ru.player.fm/legal.

Unlock the secrets of responsible AI and learn how it can revolutionize system performance while keeping ethical considerations front and center.
This episode promises to guide you through AWS's insightful white paper on responsible AI, shedding light on its collaborative efforts with renowned organizations like NIST and OECD.
But rather than have you read all 19 pages of this super document I've created a verbal synopsis using NotebookLM.
Explore AWS's structured framework, broken down into four crucial phases—awareness, foundations, exploration, and scaling—and discover how developers, deployers, and end users share the responsibility for effective AI communication and collaboration.
We delve into AWS's eight dimensions of responsible AI, such as fairness and transparency, using real-world examples to illustrate the delicate balance required for each.
As AI becomes an integral part of our lives, this episode tackles the challenges and complexities of ethical AI implementation across its lifecycle. From addressing concept drift to maintaining transparency and privacy in sensitive sectors like healthcare, you'll gain insights into AWS's strategies for ensuring data quality and conducting adversarial testing.
We'll (or rather my digital narrators) also emphasize the personal and professional empowerment that comes with understanding AI's strengths and limitations, encouraging listeners to advocate for ethical AI development and engage with policymakers.
The conversation ultimately challenges us to rethink our interactions with AI, urging a collective effort to shape an AI future that serves the greater good.
Enjoy.
Kieran

Support the show

For more information:
🌎 Visit my website: https://KieranGilmurray.com
🔗 LinkedIn: https://www.linkedin.com/in/kierangilmurray/
🦉 X / Twitter: https://twitter.com/KieranGilmurray
📽 YouTube: https://www.youtube.com/@KieranGilmurray
📕 Buy my book 'The A-Z of Organizational Digital Transformation' - https://kierangilmurray.com/product/the-a-z-organizational-digital-transformation-digital-book/
📕 Buy my book 'The A-Z of Generative AI - A Guide to Leveraging AI for Business' - The A-Z of Generative AI – Digital Book Kieran Gilmurray

  continue reading

Разделы

1. Responsible AI (00:00:00)

2. Ethical Implementation of AI Lifecycle (00:09:57)

3. Empowering Responsible AI Use (00:19:09)

73 эпизодов

Artwork
iconПоделиться
 
Manage episode 457324775 series 3535718
Контент предоставлен Kieran Gilmurray. Весь контент подкастов, включая эпизоды, графику и описания подкастов, загружается и предоставляется непосредственно компанией Kieran Gilmurray или ее партнером по платформе подкастов. Если вы считаете, что кто-то использует вашу работу, защищенную авторским правом, без вашего разрешения, вы можете выполнить процедуру, описанную здесь https://ru.player.fm/legal.

Unlock the secrets of responsible AI and learn how it can revolutionize system performance while keeping ethical considerations front and center.
This episode promises to guide you through AWS's insightful white paper on responsible AI, shedding light on its collaborative efforts with renowned organizations like NIST and OECD.
But rather than have you read all 19 pages of this super document I've created a verbal synopsis using NotebookLM.
Explore AWS's structured framework, broken down into four crucial phases—awareness, foundations, exploration, and scaling—and discover how developers, deployers, and end users share the responsibility for effective AI communication and collaboration.
We delve into AWS's eight dimensions of responsible AI, such as fairness and transparency, using real-world examples to illustrate the delicate balance required for each.
As AI becomes an integral part of our lives, this episode tackles the challenges and complexities of ethical AI implementation across its lifecycle. From addressing concept drift to maintaining transparency and privacy in sensitive sectors like healthcare, you'll gain insights into AWS's strategies for ensuring data quality and conducting adversarial testing.
We'll (or rather my digital narrators) also emphasize the personal and professional empowerment that comes with understanding AI's strengths and limitations, encouraging listeners to advocate for ethical AI development and engage with policymakers.
The conversation ultimately challenges us to rethink our interactions with AI, urging a collective effort to shape an AI future that serves the greater good.
Enjoy.
Kieran

Support the show

For more information:
🌎 Visit my website: https://KieranGilmurray.com
🔗 LinkedIn: https://www.linkedin.com/in/kierangilmurray/
🦉 X / Twitter: https://twitter.com/KieranGilmurray
📽 YouTube: https://www.youtube.com/@KieranGilmurray
📕 Buy my book 'The A-Z of Organizational Digital Transformation' - https://kierangilmurray.com/product/the-a-z-organizational-digital-transformation-digital-book/
📕 Buy my book 'The A-Z of Generative AI - A Guide to Leveraging AI for Business' - The A-Z of Generative AI – Digital Book Kieran Gilmurray

  continue reading

Разделы

1. Responsible AI (00:00:00)

2. Ethical Implementation of AI Lifecycle (00:09:57)

3. Empowering Responsible AI Use (00:19:09)

73 эпизодов

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