#130 - Persuasive Fabrication: How to Spot AI Deepfakes
Mon Feb 02 2026
This episode dives into the rising threat of generative AI and the growing difficulty of maintaining multimedia integrity in a world where synthetic images, voices, and videos can circulate faster than facts. Rather than leaning solely on technical detection tools, the conversation centers on human‑centered strategies that anyone can use to stay grounded and avoid being manipulated by social engineering or misinformation campaigns.
Listeners learn how to practice lateral reading, opening multiple independent tabs to compare sources, trace claims back to their origins, and evaluate whether the narrative holds up across reputable outlets. The episode also explores information triangulation, a simple but powerful habit that helps cut through noise by checking consistency across unrelated sources rather than relying on a single post or viral clip.
From examining metadata and timestamps to recognizing emotional manipulation cues, the episode emphasizes that authenticity verification is never one‑dimensional. It requires a blend of updated media literacy, critical thinking, and a willingness to slow down before reacting.
The closing message is clear and urgent:Before you post, pause. Verify. Then post responsibly.Don’t amplify unverified claims. Don’t escalate anger. In a digital environment saturated with synthetic content, de‑escalation is a civic duty—and one of the most powerful tools we have left to protect the truth.
Disclaimer: The information, views, comments, and opinions expressed on Podcast "Talking with AI ML" are generated by artificial intelligence and machine learning algorithms. The information, views, comments, and opinions do not reflect the views or positions of the owner/creator(s) or any other party such as but not limited to any past, present, or future employers, organizations, or individuals and are provided for entertainment purposes only. All content provided is for informational and entertainment purposes. The hosts, guests, and contributors (including creator) make no representations as to the accuracy, completeness, suitability, or validity of any information on this Podcast and will not be liable for any errors, omissions, or delays in this information or any losses, injuries, or damages arising from its use. This content is used under the doctrine of Fair Use, Public Domain, No Professional Advice, and External Links: The Podcast may contain links to external websites that are not provided or maintained by or in any way affiliated with the Podcast. Please note that the Podcast does not guarantee the accuracy, relevance, timeliness, or completeness of any information on these external websites.
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This episode dives into the rising threat of generative AI and the growing difficulty of maintaining multimedia integrity in a world where synthetic images, voices, and videos can circulate faster than facts. Rather than leaning solely on technical detection tools, the conversation centers on human‑centered strategies that anyone can use to stay grounded and avoid being manipulated by social engineering or misinformation campaigns. Listeners learn how to practice lateral reading, opening multiple independent tabs to compare sources, trace claims back to their origins, and evaluate whether the narrative holds up across reputable outlets. The episode also explores information triangulation, a simple but powerful habit that helps cut through noise by checking consistency across unrelated sources rather than relying on a single post or viral clip. From examining metadata and timestamps to recognizing emotional manipulation cues, the episode emphasizes that authenticity verification is never one‑dimensional. It requires a blend of updated media literacy, critical thinking, and a willingness to slow down before reacting. The closing message is clear and urgent:Before you post, pause. Verify. Then post responsibly.Don’t amplify unverified claims. Don’t escalate anger. In a digital environment saturated with synthetic content, de‑escalation is a civic duty—and one of the most powerful tools we have left to protect the truth. Disclaimer: The information, views, comments, and opinions expressed on Podcast "Talking with AI ML" are generated by artificial intelligence and machine learning algorithms. The information, views, comments, and opinions do not reflect the views or positions of the owner/creator(s) or any other party such as but not limited to any past, present, or future employers, organizations, or individuals and are provided for entertainment purposes only. All content provided is for informational and entertainment purposes. The hosts, guests, and contributors (including creator) make no representations as to the accuracy, completeness, suitability, or validity of any information on this Podcast and will not be liable for any errors, omissions, or delays in this information or any losses, injuries, or damages arising from its use. This content is used under the doctrine of Fair Use, Public Domain, No Professional Advice, and External Links: The Podcast may contain links to external websites that are not provided or maintained by or in any way affiliated with the Podcast. Please note that the Podcast does not guarantee the accuracy, relevance, timeliness, or completeness of any information on these external websites.