From Automation to Accountability: A Governance Framework for Sustainable AI and Hybrid Intelligence
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Technological advancements in the contemporary world appear to be a significant contributing factor to the increased prevalence of automation and machine-operated work across various sectors. A technological revolution is currently at its zenith, with the world entering an era in which machines are poised to supplant human labor in industry, raising concerns among individuals. Although this may seem advantageous, it introduces numerous ethical and societal challenges. This study addresses the apparent consequences of mechanized work and asserts the necessity of establishing a sustainable equilibrium between humans and machines to promote social and economic order. The study thus elucidates a proposition wherein such an equilibrium can be achieved through the integration of AI-powered technologies anchored in human decision-making. Lastly, this research presents the SAFE (Sustainable AI Framework for Ethics) framework, which is developed to ensure that hybrid intelligence systems are ethically appropriate and support the “United Nation Sustainable Development Goals (SDGs)”. Within this governance framework, we provide actionable steps to adapt AI to sustainable and ethical governance in a manner that is valuable for individuals, industries, and society.
