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Contenido proporcionado por Sheryl Kline M.A., CHPC, Sheryl Kline M.A., and CHPC. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Sheryl Kline M.A., CHPC, Sheryl Kline M.A., and CHPC o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
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Safety Measures for Bias and AI - an Interview with Dr. Emily Barnes

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Manage episode 418478064 series 2828875
Contenido proporcionado por Sheryl Kline M.A., CHPC, Sheryl Kline M.A., and CHPC. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Sheryl Kline M.A., CHPC, Sheryl Kline M.A., and CHPC o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

http://www.sherylkline.com/blog
I am thrilled to have had the opportunity to speak with Dr. Emily Barnes, Chief Digital Learning Officer, Lindenwood University, who discussed the critical issue of bias in artificial intelligence, particularly in academia, research, and tech.
Dr. Barnes shared her motivation for specializing in this field and explains the significance of mitigating AI bias to prevent adverse effects now and on future generations.
Real-world examples illustrate how biases in algorithms can disadvantage certain groups in ways that we may not have thought about.
Dr. Barnes also suggests strategies for companies to combat AI bias, such as creating diverse teams and demanding data transparency.
Key Takeaways:

  • The safety measures for bias and AI (00:00:01)
    Dr. Barnes shares the importance of safety measures for bias in AI and its impact on society.
  • Real-life example of bias in AI (00:06:37)
    An example of Amazon's algorithm favoring male applicants due to biased historical data is discussed.
  • Actions for companies to address bias in AI (00:09:29)
    Emily suggests steps for companies to address bias in AI, including forming task forces and ensuring diversity in IT departments.
  • The consequences of not addressing bias in AI (00:17:51)
    The societal and business risks of not addressing bias in AI, emphasizing the need for proactive measures.
  • Taking personal responsibility for bias in AI (00:22:15)
    Dr. Barnes encourages individuals to understand the impact of AI in their lives and demand transparency and ethical use of AI.
  • Safety Measures for Bias in AI (00:23:47)
    Discussion on personal and corporate awareness of bias in AI and its potential future impact on revenue.

To stay up-to-date with future interviews and gain valuable resources on building mindset and influence to have an even bigger voice and impact with your leadership, be sure to join our Fearless Female Leader community at www.sherylkline.com, or please email me directly at info@sherylkline.com if I can help you, your team, or organization in any way.

Cheering you on, always!
- Sheryl

  continue reading

159 episodios

Artwork
iconCompartir
 
Manage episode 418478064 series 2828875
Contenido proporcionado por Sheryl Kline M.A., CHPC, Sheryl Kline M.A., and CHPC. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Sheryl Kline M.A., CHPC, Sheryl Kline M.A., and CHPC o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

http://www.sherylkline.com/blog
I am thrilled to have had the opportunity to speak with Dr. Emily Barnes, Chief Digital Learning Officer, Lindenwood University, who discussed the critical issue of bias in artificial intelligence, particularly in academia, research, and tech.
Dr. Barnes shared her motivation for specializing in this field and explains the significance of mitigating AI bias to prevent adverse effects now and on future generations.
Real-world examples illustrate how biases in algorithms can disadvantage certain groups in ways that we may not have thought about.
Dr. Barnes also suggests strategies for companies to combat AI bias, such as creating diverse teams and demanding data transparency.
Key Takeaways:

  • The safety measures for bias and AI (00:00:01)
    Dr. Barnes shares the importance of safety measures for bias in AI and its impact on society.
  • Real-life example of bias in AI (00:06:37)
    An example of Amazon's algorithm favoring male applicants due to biased historical data is discussed.
  • Actions for companies to address bias in AI (00:09:29)
    Emily suggests steps for companies to address bias in AI, including forming task forces and ensuring diversity in IT departments.
  • The consequences of not addressing bias in AI (00:17:51)
    The societal and business risks of not addressing bias in AI, emphasizing the need for proactive measures.
  • Taking personal responsibility for bias in AI (00:22:15)
    Dr. Barnes encourages individuals to understand the impact of AI in their lives and demand transparency and ethical use of AI.
  • Safety Measures for Bias in AI (00:23:47)
    Discussion on personal and corporate awareness of bias in AI and its potential future impact on revenue.

To stay up-to-date with future interviews and gain valuable resources on building mindset and influence to have an even bigger voice and impact with your leadership, be sure to join our Fearless Female Leader community at www.sherylkline.com, or please email me directly at info@sherylkline.com if I can help you, your team, or organization in any way.

Cheering you on, always!
- Sheryl

  continue reading

159 episodios

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