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E-cigarettes and harm reduction: An evidence review (2024)
Report
Agrawal, S., Angus, K., Arnott, D., Ashcroft, R., Aveyard, P., Barry, R., …Wilson, L. (2024). E-cigarettes and harm reduction: An evidence review. Royal College of Physicians

A requirement for the use of supplementary oxygen to guide medical treatment decisions may introduce bias against non-White individuals (2024)
Journal Article
Crooks, C. J., West, J., Morling, J. R., Simmonds, M., Juurlink, I., Briggs, S., …Fogarty, A. W. (in press). A requirement for the use of supplementary oxygen to guide medical treatment decisions may introduce bias against non-White individuals. European Respiratory Journal,

Optimizing Printing Fidelity Of The Single-Nozzle Based Multimaterial Direct Ink Writing For 3D Food Printing (2024)
Journal Article
Tian, Z., Zhong, Q., Zhang, H., Yin, T., Zhao, J., Liu, G., …He, Y. (in press). Optimizing Printing Fidelity Of The Single-Nozzle Based Multimaterial Direct Ink Writing For 3D Food Printing. Virtual and Physical Prototyping,

A method for the ethical analysis of brain-inspired AI (2024)
Journal Article
Farisco, M., Baldassarre, G., Cartoni, E., Leach, A., Petrovici, M., Rosemann, A., …van Albada, S. J. (2024). A method for the ethical analysis of brain-inspired AI. Artificial Intelligence Review, 57(6), Article 133. https://doi.org/10.1007/s10462-024-10769-4

Despite its successes, to date Artificial Intelligence (AI) is still characterized by a number of shortcomings with regards to different application domains and goals. These limitations are arguably both conceptual (e.g., related to the underlying th... Read More about A method for the ethical analysis of brain-inspired AI.

Beyond the Walls: Patterns of Child Labour, Forced Labour, and Exploitation in a New Domestic Workers Dataset (2024)
Journal Article
Trodd, Z., Waite, C., Goulding, J., & S. Boyd, D. (2024). Beyond the Walls: Patterns of Child Labour, Forced Labour, and Exploitation in a New Domestic Workers Dataset. Societies, 14(5), Article 62. https://doi.org/10.3390/soc14050062

The new Domestic Workers Dataset is the largest single set of surveys (n = 11,759) of domestic workers to date. Our analysis of this dataset reveals features about the lives and work of this “hard-to-find” population in India—a country estimated to h... Read More about Beyond the Walls: Patterns of Child Labour, Forced Labour, and Exploitation in a New Domestic Workers Dataset.