A note on science, legal research and artificial intelligence

Goltz, Nachshon; Dondoli, Giulia

doi:10.1080/13600834.2019.1644065

Cited by 5 publications

(3 citation statements)

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“…A particularly interesting question is the comprehension-or, possibly, lack thereof-among engineering and computer science students. The question is relevant because it has been computer science that has been seen to enhance law and its practice, often with questionable consequences [43], and not the other way around.…”

Section: Discussionmentioning

confidence: 99%

Assessing the Readability of Policy Documents on the Digital Single Market of the European Union

Ruohonen

2021

Preprint

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Today, literature skills are necessary. Engineering and other technical professions are not an exception from this requirement. Traditionally, technical reading and writing have been framed with a limited scope, containing documentation, specifications, standards, and related text types. Nowadays, however, the scope covers also other text types, including legal, policy, and related documents. Given this motivation, this paper evaluates the readability of 201 legislations and related policy documents in the European Union (EU). The digital single market (DSM) provides the context and five classical readability indices the methods. The empirical results indicate that (i) generally a Ph.D. level education is required to comprehend the DSM laws and policy documents. Although (ii) the results vary across the five indices used, (iii) readability has slightly improved over time.

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Section: Discussionmentioning

confidence: 99%

Assessing the Readability of Policy Documents on the Digital Single Market of the European Union

Ruohonen

2021

Preprint

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“…Improving cooperation in AI research field (8.3%) The articles in this category also align with the agent-centered approach, since they are concerned with the actions and conduct of AI researchers. Some papers explore the transformations in research practices brought about by AI such as Goltz and Dondoli (2019), who argue that AI often takes precedence over other meaningful aspects of legal research. Their emphasis is on how AI tools affect research practices and ethical considerations, highlighting the roles and responsibilities of researchers in ensuring ethical conduct in AI research.…”

Section: Agent-centered Ethics Solutionsmentioning

confidence: 99%

What ethics can say on artificial intelligence: Insights from a systematic literature review

Giarmoleo,

Ferrero,

Rocchi

et al. 2024

Business and Society Review

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The abundance of literature on ethical concerns regarding artificial intelligence (AI) highlights the need to systematize, integrate, and categorize existing efforts through a systematic literature review. The article aims to investigate prevalent concerns, proposed solutions, and prominent ethical approaches within the field. Considering 309 articles from the beginning of the publications in this field up until December 2021, this systematic literature review clarifies what the ethical concerns regarding AI are, and it charts them into two groups: (i) ethical concerns that arise from the design of AI and (ii) ethical concerns that arise from human–AI interactions. The analysis of the obtained sample highlights the most recurrent ethical concerns. Finally, it exposes the main proposals of the literature to handle the ethical concerns according to the main ethical approaches. It interprets the findings to lay the foundations for future research on the ethics of AI.

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“…The legal community has also been actively probing into the appropriate and ethical integration of ChatGPT and other AI-powered tools into the teaching and practice of law [13,14]. However, the legal profession has been more cautious, and AI integration has been highly controversial and, thus, is far from being widely accepted in the legal field [15,16]. Now, how would these efforts on areas outside of the field of education inform us, as it pertains to academic support for current and future university students, to be specific?…”

Section: Introductionmentioning

confidence: 99%

AI-Supported Academic Advising: Exploring ChatGPT’s Current State and Future Potential toward Student Empowerment

Akiba,

Fraboni

2023

Education Sciences

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Artificial intelligence (AI), once a phenomenon primarily in the world of science fiction, has evolved rapidly in recent years, steadily infiltrating into our daily lives. ChatGPT, a freely accessible AI-powered large language model designed to generate human-like text responses to users, has been utilized in several areas, such as the healthcare industry, to facilitate interactive dissemination of information and decision-making. Academic advising has been essential in promoting success among university students, particularly those from disadvantaged backgrounds. Unfortunately, however, student advising has been marred with problems, with the availability and accessibility of adequate advising being among the hurdles. The current study explores how AI-powered tools like ChatGPT might serve to make academic advising more accessible, efficient, or effective. The authors compiled a list of questions frequently asked by current and prospective students in a teacher education bachelor’s degree program in the United States. Then, the questions were typed into the free version of ChatGPT, and the answers generated were explored and evaluated for their content and delivery. ChatGPT generated surprisingly high-quality answers, written in an authoritative yet supportive tone, and it was particularly adept at addressing general and open-ended career-related questions, such as career outlook, in a clear, comprehensive, and supportive manner using plain language. We argue that AI-powered tools, such as ChatGPT, may complement but not necessarily replace human academic advisers and that these tools may very well serve to promote educational equity by empowering individuals from a wide range of backgrounds with the means to initiate effective methods of seeking academic advice.

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A note on science, legal research and artificial intelligence

Cited by 5 publications

References 0 publications

Assessing the Readability of Policy Documents on the Digital Single Market of the European Union

Assessing the Readability of Policy Documents on the Digital Single Market of the European Union

What ethics can say on artificial intelligence: Insights from a systematic literature review

AI-Supported Academic Advising: Exploring ChatGPT’s Current State and Future Potential toward Student Empowerment

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