Abuja: Prof. Marcelo Knobel, Executive Director of The World Academy of Sciences (TWAS), emphasizes the importance of establishing strong ethical frameworks and inclusive global standards to prevent Artificial Intelligence (AI) from exacerbating global inequalities.
According to News Agency of Nigeria, Knobel stressed that ethical considerations should be integrated from the beginning of AI development, particularly to safeguard marginalized communities in developing countries. He highlighted the potential risk of AI systems worsening existing inequalities if social impacts are not assessed during deployment.
Knobel identified algorithmic bias, data sovereignty, and personal data protection as critical ethical concerns. He emphasized the need for researchers in the global South to have access to both tools and training to manage AI responsibly. He noted that TWAS supports UNESCO's 'Recommendation on the Ethics of Artificial Intelligence', which advocates for human rights, justice, and environmental sustainability.
Knobel stated that maintaining data privacy requires robust governance frameworks, anonymization, and informed consent processes that respect cultural and local contexts. He proposed that TWAS could advance data sovereignty by enhancing training on data governance and promoting equitable international research collaborations.
He warned about the fragmented and underrepresented state of current AI governance frameworks, which lead to regulatory inconsistencies and power imbalances. Knobel called for institutions to incorporate ethical considerations early in AI development, involving diverse stakeholders, including those from affected communities, in the planning and development process.
Knobel suggested establishing governance structures that provide oversight without hindering innovation. This would include ethics review boards with expertise in AI applications, mandatory impact assessments before deploying new tools, and ongoing monitoring of AI systems to detect unintended consequences.
Transparency in AI systems is crucial, according to Knobel, both in their functioning and in recognizing their limitations. He urged scientists and research institutions to pause development when ethical concerns arise and redirect efforts as needed.
Knobel also highlighted the need for prioritizing capacity building around ethical AI, especially in developing countries, to ensure responsible innovation. He advocated for flexible frameworks that evolve with technology while maintaining core ethical commitments.
TWAS is preparing to join global AI governance coalitions and consulting with fellows to develop policy positions reflecting the global South's unique priorities, particularly in climate adaptation, public health, and education. Knobel announced a high-level roundtable on AI ethics during TWAS's General Conference in Brazil in September.