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The Curious Task ·Oct 7, 2026 ·57 min

Rachel Lomasky - Can A.I. Be Ethical?

Evaluation and Summary

5.5/10

The Curious Task hosts Alex in conversation with Rachel Lomasky, a writer on technology and ethics, to explore whether artificial intelligence can be ethical. The episode examines hot-button issues in machine learning and AI, with particular focus on clarifying the distinction between AI and machine learning—terms often used interchangeably but with meaningfully different scopes. Lomasky discusses the limitations of current AI systems and how we define ethical decision-making in technological contexts. The conversation appears to tackle foundational questions about whether machines can genuinely make ethical choices or merely simulate ethical reasoning, and what constraints or possibilities exist within current technological frameworks. Lomasky's work, referenced through her Law & Liberty articles and her piece "Transcending Technopessimism," suggests the episode moves beyond doom-saying to explore more nuanced positions on AI's role in society. The episode runs 57 minutes, suggesting a substantive deep-dive rather than a surface treatment. The show notes indicate the conversation occurred in 2023, placing it within the period of intense public debate about generative AI and large language models.

Verdict: A straightforward conversation on an important topic with a knowledgeable guest, but the show notes provide too little detail to assess whether the episode achieves real clarity or merely skims the surface of complex questions.

Education rubric

  • Clarity of explanation 3/5 25%

    Show notes promise clarification of AI vs. machine learning distinctions, suggesting pedagogical intent, but no detail on how clearly these are actually explained in conversation.

  • Accuracy n/a

    No specific claims or sourcing details provided in show notes to verify accuracy; references suggest some rigor but content itself is not described.

  • Structure 3/5 19%

    Framed as a focused conversation on specific topics (definitions, ethics, limitations) suggesting intentional structure, but no detail on how the discussion flows or concludes.

  • Substance 3/5 19%

    57-minute conversation with a subject-matter expert and referenced articles suggests solid content, but show notes lack detail on depth, examples, or specific insights covered.

  • Delivers on its title 4/5 19%

    Title directly asks "Can A.I. Be Ethical?" and description promises exploration of ethical decision-making in AI; show notes indicate this is the core focus, though depth is unclear.

  • Value for time 3/5 19%

    57 minutes with a focused guest and defined topic suggests reasonable pacing, but without episode detail, cannot assess whether it drags or maintains momentum throughout.

How we score Education

Worth it if you want a conversational introduction to AI ethics and the AI vs. machine learning distinction from a thoughtful writer, but not if you need deep technical or philosophical rigor.

Based on the episode description. AI-generated; it can be wrong.

Show notes

In this conversation from 2023, Alex speaks with Rachel Lomasky about hot-button issues surrounding machine learning and artificial intelligence and the limitations and definitions of each, especially when it comes to ethical decision-making.  References 1. Rachel’s Articles, Law&Liberty  Link: https://lawliberty.org/author/rachel-lomasky/   2. “Artificial Intelligence (AI) vs. Machine Learning” by Columbia Engineering Link: https://ai.engineering.columbia.edu/ai-vs-machine-learning/   3. “Transcending Technopessimism” by Rachel Lomasky  Link: https://lawliberty.org/transcending-technopessimism/

Episode page

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