Safe Artificial Intelligence Publications

Publications in Safe Artificial Intelligence

Explore the most influential research papers and scholarly works that have shaped Safe Artificial Intelligence. Use the concept filter below to focus on a specific sub-area of research.

Safe Artificial Intelligence

434

Publications

30.5K

Citations

Showing yearly statistics from 2000-2026.

Page 1

	Year	Citations
Closing the AI accountability gap Inioluwa Deborah Raji, Andrew Smart, Rebecca N. White, Artificial IntelligenceEngineeringInformation SecurityAlgorithmic AccountabilityAi Safety	2020	806
AI2: Safety and Robustness Certification of Neural Networks with Abstract Interpretation Timon Gehr, Matthew Mirman, Dana Drachsler-Cohen, Artificial IntelligenceEngineeringMachine LearningNeural Networks (Machine Learning)Verification	2018	798
Governing artificial intelligence: ethical, legal and technical opportunities and challenges Corinne Cath Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences Artificial IntelligenceComputer EthicPublic PolicyEngineeringMachine Learning	2018	607
“Everyone wants to do the model work, not the data work”: Data Cascades in High-Stakes AI Nithya Sambasivan, Shivani Kapania, Hannah Highfill, Artificial IntelligenceEngineeringMachine LearningBig Data AnalyticsAi Models	2021	606
The malicious use of artificial intelligence: Forecasting, prevention, and mitigation Miles Brundage, Shahar Avin, Jack Clark, Apollo (University of Cambridge) Artificial IntelligenceEngineeringInformation SecurityPotential Security ThreatsAi Safety	2018	525
Trustworthy artificial intelligence Scott Thiebes, Sebastian Lins, Ali Sunyaev Electronic Markets Artificial IntelligenceEngineeringVerificationValue TheoryLaw	2020	510
The Chinese approach to artificial intelligence: an analysis of policy, ethics, and regulation Huw Roberts, Josh Cowls, Jessica Morley, AI & Society Artificial IntelligenceEngineeringAi SafetyLawIntelligent Systems	2020	488
The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation Miles Brundage, Shahar Avin, Jack Clark, arXiv (Cornell University) Artificial IntelligenceEngineeringInformation SecurityPotential Security ThreatsAi Safety	2018	488
Artificial Intelligence (AI) Ethics Keng Siau, Weiyu Wang Journal of Database Management Artificial IntelligenceComputer EthicEngineeringEthics In Natural Language ProcessingAlgorithmic Accountability	2020	432
Automatic Identification System (AIS): Data Reliability and Human Error Implications Abbas Harati-Mokhtari, Alan Wall, P. L. Brooks, Journal of Navigation Artificial IntelligenceEngineeringMachine LearningMarine SafetyIntelligent Diagnostics	2007	429
Artificial Intelligence and Marketing: Pitfalls and Opportunities Arnaud De Bruyn, Vijay Viswanathan, Yean Shan Beh, Journal of Interactive Marketing Artificial IntelligenceMarketing AnalyticsEngineeringMachine LearningNeural Networks (Machine Learning)	2020	419
ETHICS GUIDELINES FOR TRUSTWORTHY AI cindy mason Trustworthy Artificial IntelligenceEngineeringTrustworthy AiArtificial Intelligence EthicsTrust	2018	411

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