Privacy-preserving scoring of tree ensembles : a novel framework for AI in healthcare [PDF]
Machine Learning (ML) techniques now impact a wide variety of domains. Highly regulated industries such as healthcare and finance have stringent compliance and data governance policies around data sharing.
De Cock, Martine +6 more
core +1 more source
Recent advances in AI raise questions about its social impacts and implementation. In response, governments and public administrations seek to develop adequate governance frameworks to mitigate risks and maximize the potential of AI development and use ...
Anton Sigfrids +3 more
doaj +1 more source
Artificial Canaries: Early Warning Signs for Anticipatory and Democratic Governance of AI
We propose a method for identifying early warning signs of transformative progress in artificial intelligence (AI), and discuss how these can support the anticipatory and democratic governance of AI. We call these early warning signs ‘canaries’, based on
Carla Zoe Cremer, Jess Whittlestone
doaj +1 more source
Smartness. The face of the integration in the new “performing” society [PDF]
Economia, potere, così come case, persone e lavoro, ma prima di ogni altra cosa città: tutto negli ultimi anni è chiamato a diventare “smart”. È questa l’era della smart economy, della smart governance, della smart home, delle smart people, dello smart
Iannone, Roberta
core
Navigating public health chemicals policy in Australia: a policy maker’s and practitioner’s guide [PDF]
Chemicals are ubiquitous in everyday life. Environmental health practitioners rely on a complex web of regulators and policy bodies to ensure the protection of public health, yet few understand the full extent of this web.
Adam Capon, James Gillespie, Wayne Smith
core +1 more source
Cross-cultural insights from the AGILE index 2025 on aligning AI governance with the SDGs
The uneven alignment between AI governance and the Sustainable Development Goals (SDGs) threatens to widen global inequities and slow progress toward shared sustainability targets.
Ammar Younas, Cunqing Huangfu, Yi Zeng
doaj +1 more source
Strange Loops: Apparent versus Actual Human Involvement in Automated Decision-Making [PDF]
The era of AI-based decision-making fast approaches, and anxiety is mounting about when, and why, we should keep “humans in the loop” (“HITL”). Thus far, commentary has focused primarily on two questions: whether, and when, keeping humans involved will ...
Brennan-Marquez, Kiel +2 more
core +1 more source
Sustainable Investing and the Cross-Section of Maximum Drawdown [PDF]
We use supervised learning to identify factors that predict the cross-section of maximum drawdown for stocks in the US equity market. Our data run from January 1980 to June 2018 and our analysis includes ordinary least squares, penalized linear ...
Goldberg, Lisa R., Mouti, Saad
core +3 more sources
Regional service delivery among Pacific Island countries: an assessment [PDF]
Experience with pooling service delivery among Pacific Island countries has not met the optimistic expectations of advocates, finds this study. Abstract Pacific Island countries face a range of development challenges, including smallness, distance from
Matthew Dornan, Tess Newton Cain
core +1 more source
Responsible Artificial Intelligence governance in oncology
The use of Artificial Intelligence (AI) in healthcare is expanding rapidly, including in oncology. Although generic AI development and implementation frameworks exist in healthcare, no effective governance models have been reported in oncology. Our study
Peter D. Stetson +16 more
doaj +1 more source

