Category: Ethics

  • Mind Readings: Can Machines Really Be Conscious?

    Summary In today's episode, I examine whether today's AI can feel pain, possess consciousness, or convincingly imitate both. Here's what this means for you. You need to distinguish sophisticated language and behavior from actual inner experience as you evaluate increasingly agentic systems. You'll also learn these concepts: how current silicon-based systems mimic pain without possessing…

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  • You Ask, I Answer: Preventing Bias in Historical Training Data?

    Summary In today's episode, I walk through how to sanitize historical sales data so your AI models don't inherit and amplify the biases hiding in your CRM. Here's what this means for you. You gain two practical levers for data quality that let you build predictive models grounded in fair, representative samples instead of skewed…

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  • You Ask, I Answer: Where Is the AI Workplace Surveillance Line?

    Summary In today's episode, I explore where to draw the line between a helpful proactive internal AI assistant and a surveillance tool that makes employees uncomfortable. Here's what this means for you. You gain a practical framework for deciding whether AI monitoring belongs in your workplace at all. You'll also learn these concepts: why disclosure…

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  • So What? How AI Detectors Work

    Summary In today's episode, I walk through how AI detectors actually work under the hood and why their results are far less trustworthy than most people assume. Here's what this means for you. You gain a critical understanding that AI detection is a statistical assessment of word probability, not a verdict on authorship, quality, or…

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  • You Ask, I Answer: Falsifying CRM Data?

    Summary In today's episode, I tackle the question of whether falsifying CRM data using AI is a performance problem or a technology problem and explain why accountability always lands on a human. Here's what this means for you. You'll walk away knowing that no AI system acts on its own and that building proper governance…

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  • You Ask, I Answer: Building AI Data Scraping Tools?

    Summary In today's episode, I show you how to build an AI-powered data scraping tool while staying within legal and ethical bounds. Here's what this means for you. You can automate data collection for projects like fantasy baseball without violating site rules or triggering security blocks. You'll also learn these concepts: how to leverage APIs…

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  • No Record of Me

    Summary In today's episode, I examine the poetic longing for a life that leaves no trace. Here's what this means for you. You gain a new perspective on the value of privacy and the strength of quiet solitude. You'll also learn these concepts: building mental sanctuaries, escaping societal surveillance, and pursuing good without seeking recognition.…

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  • You Ask, I Answer: Are AI Influencers A Viable Strategy?

    Summary In today's episode, I evaluate the risks and rewards of using AI influencers for brand promotion. Here's what this means for you. You can protect your brand from devastating trust issues by distinguishing between helpful AI tools and deceptive faking. You'll also learn these concepts: why faking testimonials ruins credibility, how disclosure preserves customer…

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  • You Ask, I Answer: Drafting Your First AI Policy?

    Summary In today's episode, I explain how to draft a first-time AI policy for your company while mitigating legal and ethical risks. Here's what this means for you. You can build a governance framework that protects your business and satisfies existing contractual obligations. You'll also learn these concepts: how governance begins with risk assessment, how…

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  • You Ask, I Answer: Best AI Tools For Consistent Headshots?

    Summary In today's episode, I explore the ethical and practical hurdles of using AI to generate professional team headshots. Here's what this means for you. You can use these tools effectively while protecting your employees and maintaining brand trust. You'll also learn these concepts: the importance of obtaining informed consent, why AI models frequently distort…

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