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The Singapore Consensus on Global AI Safety Research Priorities

Fuente: arXiv

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Autori principali:	Bengio, Yoshua, Maharaj, Tegan, Ong, Luke, Russell, Stuart, Song, Dawn, Tegmark, Max, Xue, Lan, Zhang, Ya-Qin, Casper, Stephen, Lee, Wan Sie, Mindermann, Sören, Wilfred, Vanessa, Balachandran, Vidhisha, Barez, Fazl, Belinsky, Michael, Bello, Imane, Bourgon, Malo, Brakel, Mark, Campos, Siméon, Cass-Beggs, Duncan, Chen, Jiahao, Chowdhury, Rumman, Seah, Kuan Chua, Clune, Jeff, Dai, Juntao, Delaborde, Agnes, Dziri, Nouha, Eiras, Francisco, Engels, Joshua, Fan, Jinyu, Gleave, Adam, Goodman, Noah, Heide, Fynn, Heidecke, Johannes, Hendrycks, Dan, Hodes, Cyrus, Hsiang, Bryan Low Kian, Huang, Minlie, Jawhar, Sami, Jingyu, Wang, Kalai, Adam Tauman, Kamphuis, Meindert, Kankanhalli, Mohan, Kantamneni, Subhash, Kirk, Mathias Bonde, Kwa, Thomas, Ladish, Jeffrey, Lam, Kwok-Yan, Sie, Wan Lee, Lee, Taewhi, Li, Xiaojian, Liu, Jiajun, Lu, Chaochao, Mai, Yifan, Mallah, Richard, Michael, Julian, Moës, Nick, Möller, Simon, Nam, Kihyuk, Ng, Kwan Yee, Nitzberg, Mark, Nushi, Besmira, hÉigeartaigh, Seán O, Ortega, Alejandro, Peigné, Pierre, Petrie, James, Prud'Homme, Benjamin, Rabbany, Reihaneh, Sanchez-Pi, Nayat, Schwettmann, Sarah, Shlegeris, Buck, Siddiqui, Saad, Sinha, Aradhana, Soto, Martín, Tan, Cheston, Ting, Dong, Tjhi, William, Trager, Robert, Tse, Brian, H., Anthony Tung K., Willes, John, Wong, Denise, Xu, Wei, Xu, Rongwu, Zeng, Yi, Zhang, HongJiang, Žikelić, Djordje
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Artificial Intelligence Computers and Society
Accesso online:	Acceder al recurso
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_version_	1866909667842588672
author	Bengio, Yoshua Maharaj, Tegan Ong, Luke Russell, Stuart Song, Dawn Tegmark, Max Xue, Lan Zhang, Ya-Qin Casper, Stephen Lee, Wan Sie Mindermann, Sören Wilfred, Vanessa Balachandran, Vidhisha Barez, Fazl Belinsky, Michael Bello, Imane Bourgon, Malo Brakel, Mark Campos, Siméon Cass-Beggs, Duncan Chen, Jiahao Chowdhury, Rumman Seah, Kuan Chua Clune, Jeff Dai, Juntao Delaborde, Agnes Dziri, Nouha Eiras, Francisco Engels, Joshua Fan, Jinyu Gleave, Adam Goodman, Noah Heide, Fynn Heidecke, Johannes Hendrycks, Dan Hodes, Cyrus Hsiang, Bryan Low Kian Huang, Minlie Jawhar, Sami Jingyu, Wang Kalai, Adam Tauman Kamphuis, Meindert Kankanhalli, Mohan Kantamneni, Subhash Kirk, Mathias Bonde Kwa, Thomas Ladish, Jeffrey Lam, Kwok-Yan Sie, Wan Lee Lee, Taewhi Li, Xiaojian Liu, Jiajun Lu, Chaochao Mai, Yifan Mallah, Richard Michael, Julian Moës, Nick Möller, Simon Nam, Kihyuk Ng, Kwan Yee Nitzberg, Mark Nushi, Besmira hÉigeartaigh, Seán O Ortega, Alejandro Peigné, Pierre Petrie, James Prud'Homme, Benjamin Rabbany, Reihaneh Sanchez-Pi, Nayat Schwettmann, Sarah Shlegeris, Buck Siddiqui, Saad Sinha, Aradhana Soto, Martín Tan, Cheston Ting, Dong Tjhi, William Trager, Robert Tse, Brian H., Anthony Tung K. Wilfred, Vanessa Willes, John Wong, Denise Xu, Wei Xu, Rongwu Zeng, Yi Zhang, HongJiang Žikelić, Djordje
author_facet	Bengio, Yoshua Maharaj, Tegan Ong, Luke Russell, Stuart Song, Dawn Tegmark, Max Xue, Lan Zhang, Ya-Qin Casper, Stephen Lee, Wan Sie Mindermann, Sören Wilfred, Vanessa Balachandran, Vidhisha Barez, Fazl Belinsky, Michael Bello, Imane Bourgon, Malo Brakel, Mark Campos, Siméon Cass-Beggs, Duncan Chen, Jiahao Chowdhury, Rumman Seah, Kuan Chua Clune, Jeff Dai, Juntao Delaborde, Agnes Dziri, Nouha Eiras, Francisco Engels, Joshua Fan, Jinyu Gleave, Adam Goodman, Noah Heide, Fynn Heidecke, Johannes Hendrycks, Dan Hodes, Cyrus Hsiang, Bryan Low Kian Huang, Minlie Jawhar, Sami Jingyu, Wang Kalai, Adam Tauman Kamphuis, Meindert Kankanhalli, Mohan Kantamneni, Subhash Kirk, Mathias Bonde Kwa, Thomas Ladish, Jeffrey Lam, Kwok-Yan Sie, Wan Lee Lee, Taewhi Li, Xiaojian Liu, Jiajun Lu, Chaochao Mai, Yifan Mallah, Richard Michael, Julian Moës, Nick Möller, Simon Nam, Kihyuk Ng, Kwan Yee Nitzberg, Mark Nushi, Besmira hÉigeartaigh, Seán O Ortega, Alejandro Peigné, Pierre Petrie, James Prud'Homme, Benjamin Rabbany, Reihaneh Sanchez-Pi, Nayat Schwettmann, Sarah Shlegeris, Buck Siddiqui, Saad Sinha, Aradhana Soto, Martín Tan, Cheston Ting, Dong Tjhi, William Trager, Robert Tse, Brian H., Anthony Tung K. Wilfred, Vanessa Willes, John Wong, Denise Xu, Wei Xu, Rongwu Zeng, Yi Zhang, HongJiang Žikelić, Djordje
contents	Rapidly improving AI capabilities and autonomy hold significant promise of transformation, but are also driving vigorous debate on how to ensure that AI is safe, i.e., trustworthy, reliable, and secure. Building a trusted ecosystem is therefore essential -- it helps people embrace AI with confidence and gives maximal space for innovation while avoiding backlash. The "2025 Singapore Conference on AI (SCAI): International Scientific Exchange on AI Safety" aimed to support research in this space by bringing together AI scientists across geographies to identify and synthesise research priorities in AI safety. This resulting report builds on the International AI Safety Report chaired by Yoshua Bengio and backed by 33 governments. By adopting a defence-in-depth model, this report organises AI safety research domains into three types: challenges with creating trustworthy AI systems (Development), challenges with evaluating their risks (Assessment), and challenges with monitoring and intervening after deployment (Control).
format	Preprint
id	arxiv_https___arxiv_org_abs_2506_20702
institution	arXiv
publishDate	2025
record_format	arxiv
spellingShingle	The Singapore Consensus on Global AI Safety Research Priorities Bengio, Yoshua Maharaj, Tegan Ong, Luke Russell, Stuart Song, Dawn Tegmark, Max Xue, Lan Zhang, Ya-Qin Casper, Stephen Lee, Wan Sie Mindermann, Sören Wilfred, Vanessa Balachandran, Vidhisha Barez, Fazl Belinsky, Michael Bello, Imane Bourgon, Malo Brakel, Mark Campos, Siméon Cass-Beggs, Duncan Chen, Jiahao Chowdhury, Rumman Seah, Kuan Chua Clune, Jeff Dai, Juntao Delaborde, Agnes Dziri, Nouha Eiras, Francisco Engels, Joshua Fan, Jinyu Gleave, Adam Goodman, Noah Heide, Fynn Heidecke, Johannes Hendrycks, Dan Hodes, Cyrus Hsiang, Bryan Low Kian Huang, Minlie Jawhar, Sami Jingyu, Wang Kalai, Adam Tauman Kamphuis, Meindert Kankanhalli, Mohan Kantamneni, Subhash Kirk, Mathias Bonde Kwa, Thomas Ladish, Jeffrey Lam, Kwok-Yan Sie, Wan Lee Lee, Taewhi Li, Xiaojian Liu, Jiajun Lu, Chaochao Mai, Yifan Mallah, Richard Michael, Julian Moës, Nick Möller, Simon Nam, Kihyuk Ng, Kwan Yee Nitzberg, Mark Nushi, Besmira hÉigeartaigh, Seán O Ortega, Alejandro Peigné, Pierre Petrie, James Prud'Homme, Benjamin Rabbany, Reihaneh Sanchez-Pi, Nayat Schwettmann, Sarah Shlegeris, Buck Siddiqui, Saad Sinha, Aradhana Soto, Martín Tan, Cheston Ting, Dong Tjhi, William Trager, Robert Tse, Brian H., Anthony Tung K. Wilfred, Vanessa Willes, John Wong, Denise Xu, Wei Xu, Rongwu Zeng, Yi Zhang, HongJiang Žikelić, Djordje Artificial Intelligence Computers and Society Rapidly improving AI capabilities and autonomy hold significant promise of transformation, but are also driving vigorous debate on how to ensure that AI is safe, i.e., trustworthy, reliable, and secure. Building a trusted ecosystem is therefore essential -- it helps people embrace AI with confidence and gives maximal space for innovation while avoiding backlash. The "2025 Singapore Conference on AI (SCAI): International Scientific Exchange on AI Safety" aimed to support research in this space by bringing together AI scientists across geographies to identify and synthesise research priorities in AI safety. This resulting report builds on the International AI Safety Report chaired by Yoshua Bengio and backed by 33 governments. By adopting a defence-in-depth model, this report organises AI safety research domains into three types: challenges with creating trustworthy AI systems (Development), challenges with evaluating their risks (Assessment), and challenges with monitoring and intervening after deployment (Control).
title	The Singapore Consensus on Global AI Safety Research Priorities
topic	Artificial Intelligence Computers and Society
url	https://arxiv.org/abs/2506.20702