Factual Information and Public Engagement: A Systemic Approach to AI Governance
Original framing: “Study points to opportunity for governments to work with public on use of AI” — Phys.org
The development of AI has been shaped by a complex interplay of historical and cultural factors, including the legacies of colonialism, imperialism, and systemic racism. A deeper understanding of these historical patterns and parallels is essential for developing more equitable and just AI systems. By recognizing the ways in which AI has been used to reinforce social inequalities and power dynamics, we can work towards creating more inclusive and just AI governance structures.
The study's findings highlight the potential for governments to collaborate with the public on AI decision-making by providing factual information.
However, this approach must be grounded in a deeper understanding of the complex relationships between AI, power, and public engagement. A more inclusive and just AI governance structure would prioritize the perspectives and experiences of marginalized communities, incorporate indigenous knowledge systems and cross-cultural perspectives, and recognize the importance of artistic and spiritual values. By prioritizing public engagement, education, and future modelling, we can work towards creating more effective and sustainable AI governance strategies that meet the needs of diverse stakeholders.