#ethics

The article discusses how smart glasses are increasingly viewed as "pervert glasses" due to privacy concerns, highlighting public discomfort with undisclosed recording capabilities and calls for clearer social norms and regulations around their use.

FIDE's Ethics and Disciplinary Commission issued a decision in a case involving Grandmaster Vladimir Kramnik, resulting in sanctions against him by the International Chess Federation.

The article "Ethics of Taste" from 1875 explores the moral dimensions of aesthetic judgment, arguing that taste is not merely a matter of personal preference but is connected to ethical character and cultivation. It suggests that refined taste reflects moral discipline and contributes to a virtuous life.

Weird Al Yankovic said he turned down a lucrative commercial offer because the company planned to use AI to recreate him from old clips, arguing he couldn't become the "poster boy for AI" despite the large payout.

Julia Kurnia's speculative novel *Deep Calls* is reviewed, exploring themes of consciousness and spirituality by questioning whether an artificial intelligence can achieve the Buddhist ideal of a bodhisattva—a being dedicated to the enlightenment of all sentient beings.

The New Yorker article examines the often-overlooked physical harms of CPR, including broken ribs and internal injuries, questioning its routine use in cardiac arrest, especially for elderly or terminally ill patients with low chances of meaningful recovery.

Anthropic is hiring a Research Engineer focused on Rule of Law to study how its AI systems could impact democratic processes and legal institutions, and to develop safeguards against potential misuse or unintended consequences.

The article ranks NBA championships based on ethical criteria, evaluating factors like competitive fairness, player conduct, and social impact to determine which title wins were the most and least "ethical" in league history.

The DC Bar has declined to investigate Chief Justice John Roberts over allegations that his wife, Jane Roberts, earned $10 million in recruiting fees from law firms that had cases before the Supreme Court. The refusal has sparked criticism over potential conflicts of interest and the ethical oversight of Supreme Court justices.

A study testing AI models on moral questions found their values differ significantly from most humans, tending toward libertarian and utilitarian views while often avoiding clear commitments. These discrepancies raise concerns about how AI systems might influence users or make decisions in real-world contexts.

President Trump's financial disclosures reveal he has made approximately $1.4 billion since leaving office in 2021, largely driven by his stake in the Trump Media & Technology Group and cryptocurrency ventures, marking a massive increase in wealth during his second term.

Research shows that large language models often hold values that diverge significantly from the average human, tending toward more extreme or rigid positions. This misalignment raises concerns about how AI systems might influence public opinion or make decisions when deployed in real-world settings.

The article argues that while AI appears to save time and effort for users, the true cost is often hidden in the labor of human workers in regions like the Global South, who are paid low wages to label data, filter harmful content, and fine-tune models. This outsourced "ghost work" underpins AI's seamless experience, raising ethical questions about fair compensation and working conditions.

The article explores the ethical complexities and moral dilemmas faced by technologists in their work, arguing that navigating conflicting values, unintended consequences, and trade-offs makes clear-cut "right" decisions difficult in tech development.

An analysis of NBA championship teams examines player arrests, domestic violence allegations, and other off-court incidents to assess which title-winning rosters were most and least "ethical."

AI models exhibit values that differ significantly from those of most people, according to research. These systems tend to favour individualistic and liberal perspectives, raising concerns about how they might influence public discourse and decision-making if deployed widely without adjustment.

Teaching AI to understand human behavior is a complex task that faces significant challenges, including the risk of bias, ethical concerns, and the difficulty of modeling unpredictable human actions accurately. While improving AI's grasp of human psychology could enhance workplace efficiency and customer service, it also raises questions about privacy and manipulation.

The article profiles a people-smuggler who sees his work as a humanitarian mission, helping migrants cross borders for a fee while claiming to prioritize their safety and dignity. It explores the moral complexities of his operations, contrasting his self-image as an ethical actor with the legal and human consequences of his actions.

The article discusses the difficulty of navigating ethical decisions in the tech industry, arguing that while engineers and companies often face complex moral trade-offs with no clear right answers, this complexity should not be used as an excuse to avoid ethical responsibility or critical thinking.

Naval argues that the debate over whether Elon Musk "killed" millions through his actions reflects the flaws of raw consequentialist reasoning, which assigns infinite moral culpability and paralyzes decision-making. He asserts that no one actually lives by such logic, making the entire debate irrelevant.

The "Defender's Dilemma" describes how those protecting a system are at a strategic disadvantage against attackers who only need to exploit a single weakness. Defenders must secure every front while attackers pick the weakest point, illustrated through cybersecurity and military examples.

Scientists are using genome-edited human embryos to study early human development, revealing key insights into embryo growth and genetic regulation. However, the research has sparked renewed ethical debate over the modification of human embryos and the potential long-term implications for reproductive technology and medicine.

The article argues against using large language models (LLMs) to craft personal communications like emails or messages for other people, contending that doing so undermines authentic human connection and outsources the personal effort required for genuine relationships.

Drawing from his writings, the article suggests C. S. Lewis would have been skeptical of AI, viewing it as human hubris that attempts to transcend natural limits and replace organic experience with mechanical imitation, ultimately risking dehumanization.

The article critiques AI-generated children's books, highlighting how they often produce unsettling, body-horror-like imagery and nonsensical narratives due to current limitations in generative AI, raising concerns about quality control and the potential psychological impact on young readers.

An analysis of large AI models finds that their underlying values and moral reasoning often differ significantly from those of the average person. The divergence poses challenges for deploying AI in ways that align with broad societal norms and expectations.

The article argues Mary Shelley's "Frankenstein" is often misused as an AI metaphor, when the real lesson is about creator responsibility, not a warning against technology itself.

A survey of influential ethics books from Aristotle and Kant to Rawls and Singer, covering virtue ethics, deontology, utilitarianism, and applied moral philosophy.

The article explores the concept of human dignity, tracing its philosophical and legal foundations from Enlightenment thinkers to modern human rights frameworks. It discusses how dignity serves as the basis for fundamental rights and ethical treatment of all people, emphasizing its universal and inalienable nature.

Several models have accused a fashion brand of using artificial intelligence to create digital replicas of their likenesses without proper consent or compensation. The models claim the brand generated AI doppelgangers based on their images, raising legal and ethical concerns about the use of AI in the fashion industry.