In tech we trust? some general remarks on law in the technological era from a third world perspective

Silva, José Everton da; Scherf, Erick da Luz; Silva, Marcos Vinicius Viana da

doi:10.12662/2447-6641oj.v17i25.p107-123.2019

Cited by 3 publications

(2 citation statements)

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“…However, to fully realize the benefits of artificial intelligence in higher education, social, cultural, and ethical issues related to bias, fairness, privacy, transparency, fairness, and security must be overcome [11,24]. Without careful consideration of these issues and proactive oversight, AI could exacerbate inequality, undermine trust in institutions, and perpetuate bias against marginalized groups [12].…”

Section: Introductionmentioning

confidence: 99%

Strategic leadership for responsible artificial intelligence adoption in higher education

Tarisayi

2024

CTE Workshop Proc.

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Artificial intelligence (AI) has the potential to transform higher education through its potential to improve learning, research, and leadership in colleges and universities. This study aims to identify key themes, challenges, and recommendations related to AI implementation in higher education and leadership. A literature review was supported by 2 LLMs. The results show that AI is being used to personalize teaching, provide formative feedback, identify at-risk students, accelerate research discovery, streamline administrative processes through chatbots, and optimize resource utilization. However, the findings also highlight significant technical, ethical, cultural and resource challenges that institutions must overcome in order to successfully harness AI's enormous potential while mitigating risks. Empowering management through knowledge, funding, and support structures that promote good governance and responsible AI adoption is fundamental to successfully harnessing the enormous but still largely untapped potential of AI.

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Section: Introductionmentioning

confidence: 99%

Strategic leadership for responsible artificial intelligence adoption in higher education

Tarisayi

2024

CTE Workshop Proc.

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“…There is extensive writing on the importance of public trust in the courts (see., e.g., Burke and Leben 2007 ; Gutmann et al 2022 ; Jamieson and Hennessy 2006 ), on the one hand, and the importance of trust in technology (Madhavan and Wiegmann 2007 ; Lee 2018 ; da Silva et al 2018 ; Felzmann et al 2019 ), on the other hand. However, the intersection is (at least empirically) under-explored, 10 with a few exceptions.…”

Section: Introductionmentioning

confidence: 99%

Algorithms in the court: does it matter which part of the judicial decision-making is automated?

Barysė

Sarel

2023

Artif Intell Law

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Artificial intelligence plays an increasingly important role in legal disputes, influencing not only the reality outside the court but also the judicial decision-making process itself. While it is clear why judges may generally benefit from technology as a tool for reducing effort costs or increasing accuracy, the presence of technology in the judicial process may also affect the public perception of the courts. In particular, if individuals are averse to adjudication that involves a high degree of automation, particularly given fairness concerns, then judicial technology may yield lower benefits than expected. However, the degree of aversion may well depend on how technology is used, i.e., on the timing and strength of judicial reliance on algorithms. Using an exploratory survey, we investigate whether the stage in which judges turn to algorithms for assistance matters for individual beliefs about the fairness of case outcomes. Specifically, we elicit beliefs about the use of algorithms in four different stages of adjudication: (i) information acquisition, (ii) information analysis, (iii) decision selection, and (iv) decision implementation. Our analysis indicates that individuals generally perceive the use of algorithms as fairer in the information acquisition stage than in other stages. However, individuals with a legal profession also perceive automation in the decision implementation stage as less fair compared to other individuals. Our findings, hence, suggest that individuals do care about how and when algorithms are used in the courts.

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Legal technology acceptance in Vietnam’s courts

Nguyen,

Bui

2024

Cogent Business & Management

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In tech we trust? some general remarks on law in the technological era from a third world perspective

Cited by 3 publications

References 1 publication

Strategic leadership for responsible artificial intelligence adoption in higher education

Strategic leadership for responsible artificial intelligence adoption in higher education

Algorithms in the court: does it matter which part of the judicial decision-making is automated?

Legal technology acceptance in Vietnam’s courts

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