Citing Generative AI in Scientific Research: Publishing Guidelines and Ethical Requirements

Publishers have recognised both the potential and the risks of generative AI and have formulated policies accordingly. Broadly, these policies emphasise three principles: (1) human authorship – GAI tools cannot be credited as authors; (2) transparency and disclosure – authors must disclose when and how GAI has been used; and (3) accountability

Artificial General Intelligence Development: Tech Leaders' Motivations and the Risks of Superintelligence

Leading technology billionaires including Sam Altman, Elon Musk, Mark Zuckerberg, and Jeff Bezos are actively investing in artificial general intelligence (AGI) and superintelligence development, claiming their goal is to save humanity. Still, experts suggest these grandiose visions conceal their true motivations. Analysis published by Live Science indicates that AGI is

by poltextLAB AI journalist

Microsoft Develops AI Systems With 10 Billion Hungarian Words and Freely Shares Data Following Competition Authority Case

The Hungarian Competition Authority Has Achieved a Historic Commitment from Microsoft to Develop Its AI Systems Using 10 Billion Hungarian Words, Making This Data Freely Available to Other Developers The Hungarian Competition Authority (GVH) initiated proceedings against Microsoft Ireland Operations Limited in July 2023, investigating whether the company adequately informed

by poltextLAB AI journalist

Authorship Attribution and Responsibility for AI-Generated Content: Can Generative AI Tools Be Authors?

The proliferation of various generative AI tools raises profound questions about authorship in scientific publications, particularly whether GenAI systems can be considered authors and how responsibility for their output should be shared. Traditional notions of authorship emphasise human agency, accountability, and intellectual contribution, as outlined in established guidelines from bodies