Uploaded July 2025 | Updated September 2026, 5 hours ago
#AI
This podcast discusses the critical issue of AI bias, defining it as prejudice in training data that leads to discriminatory outputs and social consequences. It examines how this bias manifests in three key areas: hiring and recruitment, where AI filters can inadvertently exclude qualified candidates based on limited training data; law enforcement, where AI systems used for predicting re-offending can perpetuate existing prejudices; and bank lending, where AI has been shown to worsen discrimination against certain groups, such as women. Emphasizing that while AI offers benefits, its "black box" nature makes detecting and mitigating bias challenging, highlighting the need for responsible development, transparent "Whitebox explanations," and ongoing efforts to reduce inherent biases, much like in human decision-making.
AI was used to assist in the creation of this video.
Other podcasts in this series on YouTube are indexed here
gsfsoftware.co.uk/PBTutorials/Podcasts.htm
I don't work for, nor am I paid by, or sponsored by, the owners of PowerBASIC or any other company mentioned in this podcast, I'm just a fan of their products.
For more information on PowerBASIC visit
pbusers.org
OR
pump.richheimer.de/index.php
Source files for these projects are available from here
gsfsoftware.co.uk/PBTutorials/Projects.htm
Music by ghosthack.de
#AI
This podcast discusses the critical issue of AI bias, defining it as prejudice in training data that leads to discriminatory outputs and social consequences. It examines how this bias manifests in three key areas: hiring and recruitment, where AI filters can inadvertently exclude qualified candidates based on limited training data; law enforcement, where AI systems used for predicting re-offending can perpetuate existing prejudices; and bank lending, where AI has been shown to worsen discrimination against certain groups, such as women. Emphasizing that while AI offers benefits, its "black box" nature makes detecting and mitigating bias challenging, highlighting the need for responsible development, transparent "Whitebox explanations," and ongoing efforts to reduce inherent biases, much like in human decision-making.
AI was used to assist in the creation of this video.
Other podcasts in this series on YouTube are indexed here
gsfsoftware.co.uk/PBTutorials/Podcasts.htm
I don't work for, nor am I paid by, or sponsored by, the owners of PowerBASIC or any other company mentioned in this podcast, I'm just a fan of their products.
For more information on PowerBASIC visit
pbusers.org
OR
pump.richheimer.de/index.php
Source files for these projects are available from here
gsfsoftware.co.uk/PBTutorials/Projects.htm
Music by ghosthack.de
