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AI for Security and Security for AI [PDF]

Proceedings of the Eleventh ACM Conference on Data and Application Security and Privacy, 2021
On one side, the security industry has successfully adopted some AI-based techniques. Use varies from mitigating denial of service attacks, forensics, intrusion detection systems, homeland security, critical infrastructures protection, sensitive information leakage, access control, and malware detection.
Cuneyt Gurcan Akcora, Sagar Samtani, Elisa Bertino, Murat Kantarcioglu, Maanak Gupta, Sudip Mittal   +5 more
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AI vs. AI: Exploring the Intersections of AI and Cybersecurity

Proceedings of the 2021 ACM Workshop on Security and Privacy Analytics, 2021
The future of cybersecurity will pit AI against AI. In this talk, we explore the role of AI in strengthening security defenses as well as the role of security in protecting AI services. We expect that the scale, scope and frequency of cyber attacks will increase disruptively with attackers harnessing AI to develop attacks that are even more targeted ...
Marc Ph. Stoecklin, Josyula R. Rao, Ian M. Molloy   +2 more
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Ethical AI is Not about AI

Communications of the ACM, 2023
The equation Ethics + AI = Ethical AI is questionable.
Johnson, Deborah G., Verdicchio, Mario
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Engineering Education in the Era of ChatGPT: Promise and Pitfalls of Generative AI for Education

IEEE Global Engineering Education Conference, 2023
Engineering education is constantly evolving to keep up with the latest technological developments and meet the changing needs of the engineering industry.
Junaid Qadir
semanticscholar   +1 more source

Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality

Social Science Research Network, 2023
The public release of Large Language Models (LLMs) has sparked tremendous interest in how humans will use Artificial Intelligence (AI) to accomplish a variety of tasks.
Fabrizio Dell'Acqua, Edward McFowland, Ethan R. Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon, K. Lakhani   +8 more
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Yi: Open Foundation Models by 01.AI

arXiv.org
We introduce the Yi model family, a series of language and multimodal models that demonstrate strong multi-dimensional capabilities. The Yi model family is based on 6B and 34B pretrained language models, then we extend them to chat models, 200K long ...
01.AI Alex Young, Bei Chen, Chao Li, Chengen Huang, Ge Zhang, Guanwei Zhang, Heng Li, Jiangcheng Zhu, Jianqun Chen, Jing Chang, Kaidong Yu, Peng Liu, Qiang Liu, Shawn Yue, Senbin Yang, Shiming Yang, Tao Yu, Wen Xie, Wenhao Huang, Xiaohui Hu, Xiaoyi Ren, Xinyao Niu, Pengcheng Nie, Yuchi Xu, Yudong Liu, Yue Wang, Yuxuan Cai, Zhenyu Gu, Zhiyuan Liu, Zonghong Dai   +29 more
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Teacher support and student motivation to learn with Artificial Intelligence (AI) based chatbot

Interactive Learning Environments, 2023
As Artificial Intelligence (AI) advances technologically, it will inevitably bring many changes to classroom practices. However, research on AI in education reflects a weak connection to pedagogical perspectives or instructional approaches, particularly ...
Thomas K. F. Chiu, Benjamin Luke Moorhouse, C. Chai, Murod Ismailov   +3 more
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GUIDANCE FOR GENERATIVE AI IN EDUCATION AND RESEARCH" FOR TEACHERS

Journal of industrial education
From the book title is "Guidance for Generative AI in Education and Research" for teachers, or this book serves as part of the guidelines for using Generative AI (GenAI) in the fields of education and research. This book was written by W.
S. Boonlue
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Red-Teaming for Generative AI: Silver Bullet or Security Theater?

AAAI/ACM Conference on AI, Ethics, and Society
In response to rising concerns surrounding the safety, security, and trustworthiness of Generative AI (GenAI) models, practitioners and regulators alike have pointed to AI red-teaming as a key component of their strategies for identifying and mitigating ...
Michael Feffer, Anusha Sinha, Zachary Chase Lipton, Hoda Heidari   +3 more
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Regulation of AI and AI Crimes

SSRN Electronic Journal, 2020
According to McCarthy, artificial intelligence (AI) is “the science and engineering of making intelligent machines, especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence, but AI does not have to confine itself to methods that are highly biologically observable”.
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