S6, E243 - Reality Check: AI's Influence Is Baked Right In episode artwork

EPISODE · May 23, 2025 · 16 MIN

S6, E243 - Reality Check: AI's Influence Is Baked Right In

from Privacy Please · host Cameron Ivey

Send us Fan MailGabe and Cameron dive into the unseen dangers of AI systems, exploring how inherent biases shape our perception and how prompt injection attacks pose serious security threats.• Generative AI models contain built-in biases based on their training data, favoring Western and particularly North American perspectives• A recent study shows ChatGPT-4 with personalization is more persuasive than humans 64.4% of the time• Most users accept AI outputs without questioning the underlying biases• Prompt injection allows hackers to insert malicious instructions into AI systems that can lead to data leaks and security breaches• Security professionals don't yet understand the full scope of AI vulnerabilities• Google's new video generation technology makes it impossible to distinguish between real and AI-created content• Despite digital concerns, it's important to appreciate real-world experiences like enjoying ice cream on a hot summer daySupport the show

Send us Fan Mail Gabe and Cameron dive into the unseen dangers of AI systems, exploring how inherent biases shape our perception and how prompt injection attacks pose serious security threats. • Generative AI models contain built-in biases based on their training data, favoring Western and particularly North American perspectives • A recent study shows ChatGPT-4 with personalization is more persuasive than humans 64.4% of the time • Most users accept AI outputs without questioning the underl...

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S6, E243 - Reality Check: AI's Influence Is Baked Right In

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Never Time to Give Up Shadoe Lass A nod to the classics with a note from the future. A project meant to encompass every call I wanted to make but never went through. Seriously, it's just me, calling you. Pick up the phone? :) Hosted on Acast. See acast.com/privacy for more information. Explicit Unfiltered Casefile Presents Unfiltered invites guests from all walks of life to share real stories about justice and transformation. Join host Raquel O'Brien for a series of raw and honest conversations from a range of perspectives in an invitation for you to make up your own mind. No topic is off-limits. Hosted on Acast. See acast.com/privacy for more information. Explicit I am Consciously Curious Victor Chan I am Consciously Curious is a Chicago based podcast that dissects passionate individuals in various industries. The goal is to share their stories to inspire you to cultivate meaning within your own space. If you are interested in coming on or know someone that would be great for the podcast, please message us on fb/ig: @iamconsciouslycurious Explicit TCAST: The Future of Data & AI TARTLE The Data Intelligence Podcast (TCAST) explores the intersection of AI, data privacy, and ethical technology. Join Alexander McCaig and Jason Rigby as they decode the future of data ownership, artificial intelligence, and digital privacy with industry leaders, researchers, and innovators.Each episode delivers actionable insights on:AI and machine learning developmentsData privacy and ownership strategiesEthical technology implementationReal-world applications of data intelligenceFuture trends in digital identity and data marketplacesPerfect for tech leaders, data scientists, privacy advocates, and forward-thinking professionals looking to understand and shape the future of data and AI.Presented by TARTLE, pioneers in ethical data exchange and AI enhancement. New episodes every week.The show is hosted by Co-Founder and Source Data Pioneer Alexander McCaig and Head of Conscious Marketing Jason Rigby.What's your data worth? Find out at (https://tartle.co/)Watch the podcast on Yo Explicit

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This episode was published on May 23, 2025.

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Send us Fan MailGabe and Cameron dive into the unseen dangers of AI systems, exploring how inherent biases shape our perception and how prompt injection attacks pose serious security threats.• Generative AI models contain built-in biases based on...

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