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Contenido proporcionado por Nicola Martin. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Nicola Martin 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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Bias in AI-Driven Hiring Processes

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Contenido proporcionado por Nicola Martin. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Nicola Martin 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.

In this episode of Tech Pathways, host Nicola Martin talks about the important issue of bias in AI-driven hiring processes. Nicola explores the impact of AI on diversity, the challenges posed by technical colonialism, and the gender digital divide.
Learn how transparent AI testing, regular audits, and career coaching can help bridge these gaps, fostering a fairer, more inclusive hiring landscape. Plus, hear about the latest in AI model testing, including a new resource Nicola contributed to for understanding ethical AI in recruitment.
GeekWire - AI Bias in Hiring
Summary of how AI-driven hiring tools can perpetuate racial and gender biases, potentially impacting diversity in tech.
GeekWire Article

Wired - Technological Colonialism in AI
Analysis of how AI's design can favor dominant cultures, potentially creating biases that marginalize underrepresented groups.
Wired Article

BBC Worklife. "AI recruiting: Can hiring software ever be fair?"
BBC Article

UN Women - Gender Digital Divide
Explores the barriers women face in accessing digital resources, highlighting how this impacts their representation in tech.
UN Women Article

Book - Software Testing with Generative AI by Mark Winteringham
A resource on testing AI models, with a focus on reducing bias and ensuring transparency.
Book Link

Subscribe to Tech Pathways Newsletter on Linkedin!

  continue reading

4 episodios

Artwork
iconCompartir
 
Manage episode 449799462 series 3609872
Contenido proporcionado por Nicola Martin. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Nicola Martin 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.

In this episode of Tech Pathways, host Nicola Martin talks about the important issue of bias in AI-driven hiring processes. Nicola explores the impact of AI on diversity, the challenges posed by technical colonialism, and the gender digital divide.
Learn how transparent AI testing, regular audits, and career coaching can help bridge these gaps, fostering a fairer, more inclusive hiring landscape. Plus, hear about the latest in AI model testing, including a new resource Nicola contributed to for understanding ethical AI in recruitment.
GeekWire - AI Bias in Hiring
Summary of how AI-driven hiring tools can perpetuate racial and gender biases, potentially impacting diversity in tech.
GeekWire Article

Wired - Technological Colonialism in AI
Analysis of how AI's design can favor dominant cultures, potentially creating biases that marginalize underrepresented groups.
Wired Article

BBC Worklife. "AI recruiting: Can hiring software ever be fair?"
BBC Article

UN Women - Gender Digital Divide
Explores the barriers women face in accessing digital resources, highlighting how this impacts their representation in tech.
UN Women Article

Book - Software Testing with Generative AI by Mark Winteringham
A resource on testing AI models, with a focus on reducing bias and ensuring transparency.
Book Link

Subscribe to Tech Pathways Newsletter on Linkedin!

  continue reading

4 episodios

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