Exploring AIGC Academic Ethics: Triple Constraints of Government, Publishing, and Universities

Exploring AIGC Academic Ethics: Triple Constraints of Government, Publishing, and Universities

Exploring AIGC Academic Ethics: Triple Constraints of Government, Publishing, and Universities In the wave of digitalization, AIGC (Artificial Intelligence Generated Content) technology acts as a double-edged sword, bringing unprecedented convenience and efficiency while also triggering widespread discussions about academic integrity and ethical responsibilities. To ensure we can fully utilize this technology within compliance, we need … Read more

Can Transformers Think Ahead?

Can Transformers Think Ahead?

Machine Heart reports Machine Heart Editorial Team Do language models plan for future tokens? This paper gives you the answer. “Don’t let Yann LeCun see this.” Yann LeCun said it was too late; he has already seen it. Today, we introduce the paper that “LeCun insists on seeing,” which explores the question: Is the Transformer … Read more

Risks and Governance of Academic Misconduct in Generative AI

Risks and Governance of Academic Misconduct in Generative AI

Author Introduction Tai Long Zou, Special Researcher at the Postdoctoral Research Station of Education at Guangzhou University, Associate Professor and Master’s Supervisor at the College of Teacher Education, Hubei Minzu University Qin Jing Xiong (Corresponding Author), Special Researcher at the Postdoctoral Research Station of Education at Guangzhou University, Email: [email protected] Note: This article is a … Read more