In the early years of artificial intelligence research, AI technologies were mainly governed by the limitations of computing power. Data processing was painfully slow by today’s standards, and a relatively small group of computer scientists created and used emerging AI applications.
Decades later, we have entered a new era where governments and all major technology companies are focused on using AI to transform our daily lives and livelihoods. Powerful artificial intelligence tools are now at your fingertips.
But even the well-intentioned initiatives to use AI for data-driven decision-making, increased economic productivity, and healthcare automation are increasing the risk of negative consequences. As the technical frontiers shrink, we face a growing urgency to close the gaps in governance so that we can steer this technology toward equitable and sustainable development—in other words, shape AI for good.
