On the path to the future: mapping the notion of transparency in the EU regulatory framework for AI

Varošanec, Ida

doi:10.1080/13600869.2022.2060471

Cited by 7 publications

(1 citation statement)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…"Transparency is the currency of trust, [i]t offers clarity and certainty". 213 In case of a lack of transparency, it is challenging to pinpoint and establish potential legal violations, particularly those that safeguard fundamental rights, assign responsibilities and fulfill requirements for compensation claims. 214 In order to help us understand our world and predict the future, more and more advanced algorithms are emerging every day.…”

Section: Limits Of Transparency For Ai: Is There a Need For A New Set...mentioning

confidence: 99%

Privacy and Transparency in an AI-driven World: Does Algorithmic Transparency Fit on Data Privacy Under GDPR?

Gasimova

2023

SSRN Journal

View full text Add to dashboard Cite

Section: Limits Of Transparency For Ai: Is There a Need For A New Set...mentioning

confidence: 99%

Privacy and Transparency in an AI-driven World: Does Algorithmic Transparency Fit on Data Privacy Under GDPR?

Gasimova

2023

SSRN Journal

View full text Add to dashboard Cite

Regulation of Appropriate Prompts for Users in Text‐Based Generative Artificial Intelligence Programs

Li,

Jia,

2024

Softw Pract Exp

View full text Add to dashboard Cite

BackgroundThe principle of transparency is of great significance in the governance of text‐based generative artificial intelligence (AI) technology. The principle of transparency not only requires the operational principles and algorithms of text‐based generative artificial intelligence to be interpretable, but also requires text‐based generative artificial intelligence programs to fulfill basic prompting obligations to users, especially when it comes to the output content of generative artificial intelligence, which cannot guarantee true and accurate prompts.AimsThe purpose of this study is to explore the classification and frequency of prompt methods in text‐based generative artificial intelligence and to propose that laws should require different prompt rules for various user categories, addressing the current gap in existing regulations.MethodsThe experiment is conducted from June 1 to 15, 2024 in the school, scientific research company, media organization hall, and railway station lounge, and Kimi program, Tongyi program, ERNIE Bot program, iFLYTEK Spark program, etc., are used as text‐based generative AI programs.DiscussionThe results show that users aged 8‐17 who are minors only have 6 points in their perception of the authenticity of the output content of generative artificial intelligence programs; the level of awareness of possible falsity during use reaches 4 points; the degree of user misleading is as high as 13 points.ConclusionThe study concludes that, for individuals needing special protection, such as minors, prompts should accompany every instance of content generation. For other user groups, prompts should be issued when necessary. To enhance prompt effectiveness, the program should display permanent prompts in prominent positions on the interface, using noticeable fonts and clear, well‐designed wording. Research reveals that minors have insufficient perception of the authenticity of the output content of generative artificial intelligence, and the risk of misleading is significant, highlighting the importance of clear prompts for this specific group every time they generate content.

show abstract

AI Regulation in the EU: The Future Interplay Between Frameworks

Schütte

2023

YSEC Yearbook of Socio-Economic Constitutions

View full text Add to dashboard Cite

On the path to the future: mapping the notion of transparency in the EU regulatory framework for AI

Cited by 7 publications

References 44 publications

Privacy and Transparency in an AI-driven World: Does Algorithmic Transparency Fit on Data Privacy Under GDPR?

Privacy and Transparency in an AI-driven World: Does Algorithmic Transparency Fit on Data Privacy Under GDPR?

Regulation of Appropriate Prompts for Users in Text‐Based Generative Artificial Intelligence Programs

AI Regulation in the EU: The Future Interplay Between Frameworks

Contact Info

Product

Resources

About