The path forward – solutions and safeguards

Tackling generative AI’s multi-faceted ethical challenges demands collaboration between stakeholders across technology, government, academia, media, and civil society. This is how you can move forward:

• Tech firms must commit to ethics by design by implementing internal oversight boards, algorithmic impact assessments for new products, and bias bounty programs to encourage external auditing.
• Policymakers need to enact thoughtful regulations such as requiring transparency reports, prohibiting harmful uses through export control laws, and mandating rights-preserving data practices.
• Researchers should continue advancing techniques such as adversarial testing for bias detection, AI safety research institutes, and proposed standards around transparent documentation and evaluation protocols.
• Workers must influence the governance of AI systems affecting their livelihoods. Labor power has advanced society before and...