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Amid growing concerns over AI ethics, a leading researcher from tech giant Anthropic appeared at a conference known for its conservative and nationalist leanings, raising questions about the company's approach to moral oversight.
In an era where artificial intelligence (AI) is rapidly shaping our world, the ethical considerations guiding these technologies are more crucial than ever. This week, Chloe Lubinski, lead on "research partnerships with the world’s faith and philosophy traditions" at Anthropic, spoke at the 2026 Alliance for Responsible Citizenship (ARC) conference in London. The event, known for its transatlantic far-right attendees, has drawn scrutiny over its funding sources and political influence.
Lubinski framed ARC attendees as uniquely positioned to provide moral oversight for AI development, a stance that has raised eyebrows among tech ethicists and policymakers. Given the conference's ties to oil and gas investors and donors to former President Donald Trump, who dismantled federal climate policies and opposes AI regulation, this partnership is particularly concerning.
Anthropic, known for its advanced AI models, has emphasized ethical development as a core principle. However, the choice to seek moral guidance from a conference with such specific ideological leanings has sparked debate. Critics argue that aligning with far-right groups could skew the ethical framework of AI in ways that prioritize certain values over others.
For instance, ARC is funded by individuals and organizations with vested interests in industries that stand to benefit from deregulation, such as fossil fuels. This raises questions about the impartiality of the moral voices being sought. As Rachel Santarsiero, a journalist covering tech ethics, noted, "The ethical development of AI should be a broad, inclusive process that considers diverse perspectives, not just those aligned with specific political or economic agendas."
the conference's lineup includes figures known for their conservative and nationalist views, such as Jordan Peterson, Donald Trump, and Kemi Badenoch MP. These individuals have been vocal about their skepticism towards environmental regulations and social justice initiatives, which could influence the ethical guidelines they propose for AI.

The implications of this partnership extend beyond just the conference itself. As AI becomes increasingly integrated into various aspects of society, from healthcare to law enforcement, the values embedded in these systems can have profound impacts on real people's lives. For example, if an AI model is trained with a biased ethical framework, it could perpetuate or even exacerbate existing social inequalities.
Dr. Emily Carter, a public health researcher, emphasized this point: "AI has the potential to revolutionize how we address complex issues like climate change and healthcare disparities. But if these technologies are developed without a diverse and inclusive ethical foundation, they risk entrenching the very problems they aim to solve."
The tech industry's growing awareness of these risks is evident in the increasing calls for robust regulation and ethical oversight. However, the involvement of groups with specific political agendas complicates this process. Policymakers must ensure that the voices shaping AI ethics represent a broad spectrum of societal values, not just those that align with particular economic or ideological interests.
As the debate over AI ethics continues to unfold, it is crucial for companies like Anthropic to engage transparently and inclusively. The ethical development of AI should be a collaborative effort that involves stakeholders from various backgrounds, ensuring that these technologies serve the common good and promote equity and justice for all.
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Original Sources
Anthropic Crowdsourced Ethics Feedback at a Far-Right London Confab
↗ https://www.desmog.com/2026/06/25/anthropic-crowdsourced-ethics-feedback-at-a-far-right-london-confab
About the author
Amara's entry point into AI was an epidemiology role at a London research hospital, where she spent five years studying how digital health tools reached — or conspicuously failed to reach — underserved communities. Watching early algorithmic systems in healthcare quietly entrench existing inequalities, she redirected her career toward the systemic consequences of AI at scale. She covers AI through an unflinching lens: who benefits, who bears the cost, and what evidence actually says versus what the press release claims. Her writing is calm and precise, but she doesn't mistake balance for neutrality.
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6 July 2026
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