An overview of artificial intelligence ethics

C Huang, Z Zhang, B Mao, X Yao - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Artificial intelligence (AI) has profoundly changed and will continue to change our lives. AI is
being applied in more and more fields and scenarios such as autonomous driving, medical …

User trust in artificial intelligence: A comprehensive conceptual framework

R Yang, S Wibowo - Electronic Markets, 2022 - Springer
This paper provides a systematic literature review of current studies between January 2015
and January 2022 on user trust in artificial intelligence (AI) that has been conducted from …

Explainable ai for interpretable credit scoring

LM Demajo, V Vella, A Dingli - arXiv preprint arXiv:2012.03749, 2020 - arxiv.org
With the ever-growing achievements in Artificial Intelligence (AI) and the recent boosted
enthusiasm in Financial Technology (FinTech), applications such as credit scoring have …

Provenance documentation to enable explainable and trustworthy AI: A literature review

A Kale, T Nguyen, FC Harris Jr, C Li, J Zhang… - Data Intelligence, 2023 - direct.mit.edu
Recently artificial intelligence (AI) and machine learning (ML) models have demonstrated
remarkable progress with applications developed in various domains. It is also increasingly …

[HTML][HTML] What we already know about corporate digital responsibility in IS research: A review and conceptualization of potential CDR activities

KV Carl, O Hinz - Electronic Markets, 2024 - Springer
Advances in new technologies affect private and professional lives alike, posing new
opportunities and threats for companies, consumers, and society. In this context, the concept …

Machine learning verification and safety for unmanned aircraft-a literature study

C Torens, F Juenger, S Schirmer, S Schopferer… - AIAA Scitech 2022 …, 2022 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2022-1133. vid Machine learning (ML)
has proven to be the tool of choice for achieving human-like or even super-human …

Trustworthiness Evaluation Framework for Digital Ship Navigators in Bridge Simulator Environments

H Namazi, LP Perera - International Conference on …, 2023 - asmedigitalcollection.asme.org
The maritime industry is going towards implementing digital navigators, ie, AI created by
machine learning algorithms, on autonomous vessels in the future. Digital navigators can be …

Toward Trustworthy Artificial Intelligence (TAI) in the Context of Explainability and Robustness

B Chander, C John, L Warrier… - ACM Computing …, 2024 - dl.acm.org
From the innovation, Artificial Intelligence (AI) materialized as one of the noticeable research
areas in various technologies and has almost expanded into every aspect of modern human …

[PDF][PDF] Governance in ethical and trustworthy AI systems: Extension of the ECCOLA method for AI ethics governance using GARP

M Agbese, HK Alanen, J Antikainen… - e-Informatica …, 2023 - bibliotekanauki.pl
Background: The continuous development of artificial intelligence (AI) and increasing rate of
adoption by software startups calls for governance measures to be implemented at the …

Gender Equality and Artificial Intelligence: SDG 5 and the Role of the UN in Fighting Stereotypes, Biases, and Gender Discrimination

F Lütz - Women's Empowerment and Its Limits: Interdisciplinary …, 2023 - Springer
Gender inequalities and discrimination are a global problem affecting all countries of the
United Nations (UN). Since the rise of digital technologies, such as artificial intelligence (AI) …