In this episode of The Morality Machine we role-play as screenwriters for Black Mirror, pitching two near-future stories that explore brain implants, digital resurrection, and the ethical considerations of AI.
Nearly everything you see on the internet is tailored specifically to you, using a combination of content recommendation algorithms and your personal data. It’s perfectly legal, but could it be eroding our ability to recognize what is real, or even disrupting the democratic process itself?
How Content Recommendation Works Details of the Algorithm Data Gathering
In this episode of The Morality Machine, we discuss the hidden dangers of LLM poisoning. We uncover how bad actors, propaganda networks, and artists are manipulating AI systems.
In this episode, we test whether large language models (LLMs) can truly be trusted to provide accurate sources. By comparing responses from GPT-oss-20B and DeepSeek to a politically charged research question, we uncover a pattern of fabricated information in AI models.
In this episode, we analyze morality through movie characters using classic ethical frameworks (virtue, care, utilitarianism, duty, natural law, contractarianism)
As algorithms increasingly make decisions about who gets jobs, loans, or parole, what happens to the people who don’t fit the pattern? This post explores The Right to Be an Exception to a Data-Driven Rule, a case study that examines how data-driven systems can unfairly disadvantage those who fall outside statistical averages.
Despite headlines warning that “AI can kill you,” most interactions with artificial intelligence are safe and beneficial. This article analyzes how fear-based reporting exaggerates AI risks and argues for thoughtful regulation and public education instead of panic.
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