Uploaded April 2026 | Updated September 2026, 15 hours ago
Todays podcast examines the critical privacy and security challenges inherent in using personal information to educate artificial intelligence systems.
We explore the process that "feeding" AI involves using vast datasets to teach models pattern recognition a process that risks exposing sensitive user details through data breaches or accidental memorization.
To mitigate these risks, we look at several vulnerabilities, such as the lack of user consent and the potential for re-identifying anonymous individuals from fragmented data points.
Advocating for a comprehensive protection strategy that includes robust encryption, strict access controls, and the total deletion of raw files once training is complete.
Ultimately, we emphasize that maintaining legal compliance and consumer trust requires treating data security as a fundamental component of the development lifecycle rather than a secondary concern. By following these structured safeguards, organizations can develop powerful AI tools while effectively shielding the private lives of the people who provide the necessary information.
AI was used to assist in the creation of this video.
Source files and an Index to all the YouTube videos are accessible from here
gsfsoftware.co.uk/PBTutorials/Projects.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
Music by ghosthack.de
Todays podcast examines the critical privacy and security challenges inherent in using personal information to educate artificial intelligence systems.
We explore the process that "feeding" AI involves using vast datasets to teach models pattern recognition a process that risks exposing sensitive user details through data breaches or accidental memorization.
To mitigate these risks, we look at several vulnerabilities, such as the lack of user consent and the potential for re-identifying anonymous individuals from fragmented data points.
Advocating for a comprehensive protection strategy that includes robust encryption, strict access controls, and the total deletion of raw files once training is complete.
Ultimately, we emphasize that maintaining legal compliance and consumer trust requires treating data security as a fundamental component of the development lifecycle rather than a secondary concern. By following these structured safeguards, organizations can develop powerful AI tools while effectively shielding the private lives of the people who provide the necessary information.
AI was used to assist in the creation of this video.
Source files and an Index to all the YouTube videos are accessible from here
gsfsoftware.co.uk/PBTutorials/Projects.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
Music by ghosthack.de
