Ethics of science cannot be separated from who funds it

By the Editorial Team · Friday, September 25, 2026

Vincent Straub of the University of Oxford warned that ethical challenges in AI and genomics are exacerbated by funding biases, lack of diversity in genetic data, and resurgent eugenic ideas, which risk deepening health inequities. He called for greater transparency and scrutiny of the financial and ideological forces shaping research to ensure that technological advances benefit a wider and more equitable population.

A researcher specializing in artificial intelligence (AI) and genetic data governance has raised concerns about the ethical challenges emerging at the intersection of AI development and genomics, emphasizing the significant influence of funding and power structures on scientific progress.

Vincent Straub, an interdisciplinary researcher at the University of Oxford’s Nuffield Department of Population Health, responded critically to arguments suggesting that AI can learn from genomics how to address ethical issues. While acknowledging the importance of humility regarding technological capabilities, Straub contends that this approach falls short given the rapid pace of scientific advances outpacing current legislation.

A central point of Straub’s critique involves the lack of diversity in genomic research. He highlighted that over 80 percent of participants in genome-wide association studies—the core of much genetic research—are of European ancestry. This imbalance leads to medical benefits that disproportionately favor white European populations, raising concerns about equity in health outcomes. Furthermore, Straub noted that eugenic ideas, which many assumed had largely disappeared following the Human Genome Project, appear to be resurfacing among certain scientific circles, a trend that ongoing AI applications may inadvertently amplify.

Straub also pointed to warnings from the World Bank about AI’s uneven global development. The institution has cautioned that disparities in technological progress risk transforming what could be a transformative leap into a "permanent global divide," as wealthier countries shape AI technologies and disproportionately capture their advantages. The merging of AI and genomic technologies is evident in emerging fields such as genetic prediction services for embryos, where advances in both areas intersect with substantial investment from Silicon Valley firms.

The researcher emphasized that ethical considerations in science cannot be disentangled from the sources of funding, the prevailing ideas guiding innovation, and the demographics of data representation. These factors collectively influence who benefits from scientific breakthroughs, often reinforcing existing inequities.

Addressing the future, Straub agreed that tempering hype about what AI and genomics can achieve is necessary but insufficient. He argued for increased transparency and scrutiny regarding the financial and ideological forces driving research and development efforts. Straub urged a more proactive engagement with these influences to ensure that emerging technologies serve broader societal interests rather than narrow economic or political agendas.

His reflections provide a cautionary perspective on the evolving landscape of AI and genomics, underscoring the need for ethical oversight that keeps pace with innovation and is attentive to issues of diversity, equity, and power distribution in science.

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