Beyond Silicon Valley: Building AI Governance on the Fair Go Principle
Responsible AI isn’t culturally neutral. American AI development embeds distinctly American values — individual liberty, technological solutionism, and winner-takes-all competition. But what happens when these values clash with Australian cultural principles that prioritise collective welfare, egalitarianism, and the “fair go”?
Current AI governance frameworks — largely imported from Silicon Valley — often perpetuate values misaligned with Australian regulatory expectations and social norms. The Mathpath and recovering American Aubrey Blanche draws on principles of mateship, pragmatic skepticism, and community-oriented thinking, in this presentation that introduces a distinctly Australian responsibility framework for AI implementation. Rather than treating AI risks as individual consumer choices or market failures, this framework positions AI governance as a collective responsibility — where technology serves the common good, ensures equitable access, and earns trust through demonstrated fairness rather than assumed benevolence.
Aubrey Blanche
Aubrey Blanche is an expert and executive in equitable people and culture, ethical business operations, and responsible AI. Known as “The Mathpath” — math nerd meets empath — she combines an intersectional, data-driven approach with deep empathy to help organisations build AI systems that serve diverse communities fairly. A recovering American now based in Australia, Aubrey advises a portfolio of organisations on embedding equitable design into their operations, programs, and products. Her work on responsible AI examines how large language models trained on biased datasets risk perpetuating and exacerbating social and institutional biases — and what builders can do about it. She sits on the Board of Directors of the Culture Amp Foundation and Circle of Blue, and her writing and speaking have been featured in Wired, the Wall Street Journal, the Australian Financial Review, and USA Today.