This paper provides a roadmap for leveraging Generative AI to address known challenges to research integrity, focusing on potential innovations and interventions in peer review, open data sharing, accessibility, and inclusion.

Systemic racism, an issue deeply entrenched in various sectors of American society, continues to cast a shadow over the nation's progress towards equality and justice. This paper showcases some of generative artificial intelligence (AI) potential to identify . . .

The spread of misinformation on social media platforms threatens democratic processes, contributes to massive economic losses, and endangers public health. Many efforts to address misinformation focus on a knowledge deficit model and propose interventions for improving . . .

AI training data organization and transparency remains opaque, and this impedes our understanding of data authenticity, consent, and the harms and biases in AI models. Regulators and researchers have called for new solutions to address obstacles around responsible and account . .

Online discourse faces challenges in facilitating substantive and productive political conversations. Recent technologies have explored the potential of generative AI to promote civil discourse, encourage the development of mutual understanding in a discussion, produce . . .

Will new technology consign human workers to the garbage dump of history? Prior waves of concern over technological mass unemployment have typically come during periods of, well, mass unemployment. During the depths of the Great Depression, manufacturing automation . . .

The increase in life expectancy worldwide is a global success story, but along with reduced birth rates, it has resulted in a growing population of older adults and relatively fewer young adults available to provide care. Over 10% of the world’s population is over 65; by 2050...

Successful integration of generative AI for civic engagement must be powered by people who use their judgment to validate outputs, mitigate potential errors, contextualize results, and build trust between the government and the community.

End-to-end security and privacy are increasingly urgent as generative AI is deployed in organizations and integrated into our daily lives. Many partial solutions exist across the research and practice landscape, yet none provide an end-to-end solution for generative AI.