Responsible AI

Artificial Intelligence (AI) will shape education, labor and the workforce, the economy, civil and human rights, and the environment for decades; and how we design, develop, and deploy AI today will determine who benefits tomorrow. To build a future in which AI benefits society, we must first develop and adopt a set of principles to guide our investments in AI for racial, economic, and environmental justice.

Incorporate prosocial design principles and continually assess broader societal impacts.

We must employ prosocial and design justice principles by ensuring that solutions are designed with societal benefit at the forefront, the communities most impacted by AI are centered in the design process, regular audits of impact are conducted, and the entire lifecycle of AI development can achieve its intended social good.

Support AI initiatives that shift power.

We must support new and more inclusive business models, compensation/incentive structures, and investment strategies, while building power across researchers, academic institutions, nonprofits/grassroots organizations, and policy advocates to raise concerns and propose solutions to address harms of AI.

Promote critical AI literacy and education across society.

We must expand access to computing education for all students, while advancing critical AI literacies amongst innovators, workers, consumers, and advocates to ensure they are empowered to make decisions about AI’s development, adoption/use, and impact. 

Build collective mechanisms for governance and accountability.

We must build the capacity of a broad coalition of journalists, research scholars, whistleblowers, policymakers, and advocacy groups to shape the future of technological innovation through responsible regulation and accountability mechanisms.