Who is the author? A legal and normative view of authorship in Generative AI-aided academic works
Fuente:
arXiv
Saved in:
| Main Author: | Pereira, David M. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Techniques for supercharging academic writing with generative AI
by: Lin, Zhicheng
Published: (2023)
by: Lin, Zhicheng
Published: (2023)
Who Controls the Conversation? User Perspectives On Generative AI (LLM) System Prompts
by: Neumann, Anna, et al.
Published: (2026)
by: Neumann, Anna, et al.
Published: (2026)
Provocation: Who benefits from "inclusion" in Generative AI?
by: Dalal, Samantha, et al.
Published: (2024)
by: Dalal, Samantha, et al.
Published: (2024)
Who is using AI to code? Global diffusion and impact of generative AI
by: Daniotti, Simone, et al.
Published: (2025)
by: Daniotti, Simone, et al.
Published: (2025)
The global landscape of academic guidelines for generative AI and Large Language Models
by: Jiao, Junfeng, et al.
Published: (2024)
by: Jiao, Junfeng, et al.
Published: (2024)
Beyond authorship: Analyzing contributions in PLOS ONE and the challenges of appropriate attribution
by: Maddi, Abdelghani, et al.
Published: (2025)
by: Maddi, Abdelghani, et al.
Published: (2025)
How should AI knowledge be governed? Epistemic authority, structural transparency, and the case for open cognitive graphs
by: Li, Chao, et al.
Published: (2026)
by: Li, Chao, et al.
Published: (2026)
A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents
by: Li, Megan, et al.
Published: (2025)
by: Li, Megan, et al.
Published: (2025)
Who Should Run Advanced AI Evaluations -- AISIs?
by: Stein, Merlin, et al.
Published: (2024)
by: Stein, Merlin, et al.
Published: (2024)
Who is Responsible? The Data, Models, Users or Regulations? A Comprehensive Survey on Responsible Generative AI for a Sustainable Future
by: Raza, Shaina, et al.
Published: (2025)
by: Raza, Shaina, et al.
Published: (2025)
Who Decides in AI-Mediated Learning? The Agency Allocation Framework
by: Borchers, Conrad, et al.
Published: (2026)
by: Borchers, Conrad, et al.
Published: (2026)
Propensity towards Ownership and Use of Automated Vehicles: Who Are the Adopters? Who Are the Non-adopters? Who Is Hesitant?
by: Le, Tho, et al.
Published: (2024)
by: Le, Tho, et al.
Published: (2024)
Student views in AI Ethics and Social Impact
by: Mihoc, Tudor-Dan, et al.
Published: (2026)
by: Mihoc, Tudor-Dan, et al.
Published: (2026)
The Who in XAI: How AI Background Shapes Perceptions of AI Explanations
by: Ehsan, Upol, et al.
Published: (2021)
by: Ehsan, Upol, et al.
Published: (2021)
Can AI expose tax loopholes? Towards a new generation of legal policy assistants
by: Fratrič, Peter, et al.
Published: (2025)
by: Fratrič, Peter, et al.
Published: (2025)
Who Does Your AI Work For? Designing Conversational Agents as Digital Fiduciaries
by: Erickson, Jacob
Published: (2026)
by: Erickson, Jacob
Published: (2026)
Normative active inference: A numerical proof of principle for a computational and economic legal analytic approach to AI governance
by: Constant, Axel, et al.
Published: (2025)
by: Constant, Axel, et al.
Published: (2025)
Watching the Generative AI Hype Bubble Deflate
by: Widder, David Gray, et al.
Published: (2024)
by: Widder, David Gray, et al.
Published: (2024)
Who Gets Seen in the Age of AI? Adoption Patterns of Large Language Models in Scholarly Writing and Citation Outcomes
by: Khan, Farhan Kamrul, et al.
Published: (2025)
by: Khan, Farhan Kamrul, et al.
Published: (2025)
The Impact of Generative AI Coding Assistants on Developers Who Are Visually Impaired
by: Flores-Saviaga, Claudia, et al.
Published: (2025)
by: Flores-Saviaga, Claudia, et al.
Published: (2025)
Using generative AI to support standardization work -- the case of 3GPP
by: Staron, Miroslaw, et al.
Published: (2024)
by: Staron, Miroslaw, et al.
Published: (2024)
Local US officials' views on the impacts and governance of AI: Evidence from 2022 and 2023 survey waves
by: Hatz, Sophia, et al.
Published: (2025)
by: Hatz, Sophia, et al.
Published: (2025)
Who is Helping Whom? Student Concerns about AI- Teacher Collaboration in Higher Education Classrooms
by: Han, Bingyi, et al.
Published: (2024)
by: Han, Bingyi, et al.
Published: (2024)
Academ-AI: documenting the undisclosed use of generative artificial intelligence in academic publishing
by: Glynn, Alex
Published: (2024)
by: Glynn, Alex
Published: (2024)
Who's Asking? Simulating Role-Based Questions for Conversational AI Evaluation
by: Kaur, Navreet, et al.
Published: (2025)
by: Kaur, Navreet, et al.
Published: (2025)
Who Decides How Knowing Becomes Doing? Redistributing Authority in Human-AI Music Co-Creation
by: Hu, Zhejing, et al.
Published: (2025)
by: Hu, Zhejing, et al.
Published: (2025)
Who Followed the Blueprint? Analyzing the Responses of U.S. Federal Agencies to the Blueprint for an AI Bill of Rights
by: Lage, Darren, et al.
Published: (2024)
by: Lage, Darren, et al.
Published: (2024)
Who Gets Flagged? The Pluralistic Evaluation Gap in AI Content Watermarking
by: Nemecek, Alexander, et al.
Published: (2026)
by: Nemecek, Alexander, et al.
Published: (2026)
AGGA: A Dataset of Academic Guidelines for Generative AI and Large Language Models
by: Jiao, Junfeng, et al.
Published: (2025)
by: Jiao, Junfeng, et al.
Published: (2025)
Generative AI for Multiple Choice STEM Assessments
by: Perdikoulias, Christina, et al.
Published: (2025)
by: Perdikoulias, Christina, et al.
Published: (2025)
Who is Responsible When AI Fails? Mapping Causes, Entities, and Consequences of AI Privacy and Ethical Incidents
by: Hadan, Hilda, et al.
Published: (2025)
by: Hadan, Hilda, et al.
Published: (2025)
Talkin' 'Bout AI Generation: Copyright and the Generative-AI Supply Chain
by: Lee, Katherine, et al.
Published: (2023)
by: Lee, Katherine, et al.
Published: (2023)
Who Gets Heard? Rethinking Fairness in AI for Music Systems
by: Mehta, Atharva, et al.
Published: (2025)
by: Mehta, Atharva, et al.
Published: (2025)
Exploring Artificial Intelligence and Culture: Methodology for a comparative study of AI's impact on norms, trust, and problem-solving across academic and business environments
by: Huemmer, Matthias, et al.
Published: (2025)
by: Huemmer, Matthias, et al.
Published: (2025)
Transparent AI Disclosure Obligations: Who, What, When, Where, Why, How
by: Ali, Abdallah El, et al.
Published: (2024)
by: Ali, Abdallah El, et al.
Published: (2024)
From decision aiding to the massive use of algorithms: where does the responsibility stand?
by: Bellenguez, Odile, et al.
Published: (2024)
by: Bellenguez, Odile, et al.
Published: (2024)
Integration of LaTeX formula in computer-based test application for academic purposes
by: Onyenwe, Ikechukwu E., et al.
Published: (2024)
by: Onyenwe, Ikechukwu E., et al.
Published: (2024)
Examining bias perpetuation in academic search engines: an algorithm audit of Google and Semantic Scholar
by: Kacperski, Celina, et al.
Published: (2023)
by: Kacperski, Celina, et al.
Published: (2023)
To which reference class do you belong? Measuring racial fairness of reference classes with normative modeling
by: Rutherford, Saige, et al.
Published: (2024)
by: Rutherford, Saige, et al.
Published: (2024)
Chapter 15 The implicit and fundamental normative structure of legal practices
by: Caballero Elbersci, Pedro
Published: (2024)
by: Caballero Elbersci, Pedro
Published: (2024)
Similar Items
-
Techniques for supercharging academic writing with generative AI
by: Lin, Zhicheng
Published: (2023) -
Who Controls the Conversation? User Perspectives On Generative AI (LLM) System Prompts
by: Neumann, Anna, et al.
Published: (2026) -
Provocation: Who benefits from "inclusion" in Generative AI?
by: Dalal, Samantha, et al.
Published: (2024) -
Who is using AI to code? Global diffusion and impact of generative AI
by: Daniotti, Simone, et al.
Published: (2025) -
The global landscape of academic guidelines for generative AI and Large Language Models
by: Jiao, Junfeng, et al.
Published: (2024)