Making It Possible for the Auditing of AI: A Systematic Review of AI Audits and AI Auditability

Y Li, S Goel - Information Systems Frontiers, 2024 - Springer
Artificial intelligence (AI) technologies have become the key driver of innovation in society.
However, numerous vulnerabilities of AI systems can lead to negative consequences for …

Technological answerability and the severance problem: staying connected by demanding answers

DW Tigard - Science and Engineering Ethics, 2021 - Springer
Artificial intelligence (AI) and robotic technologies have become nearly ubiquitous. In some
ways, the developments have likely helped us, but in other ways sophisticated technologies …

[PDF][PDF] AI and machine learning in climate change research: A review of predictive models and environmental impact

A Hamdan, KI Ibekwe, EA Etukudoh, AA Umoh… - World Journal of …, 2024 - wjarr.com
The burgeoning threat of climate change has spurred an increased reliance on advanced
technologies to comprehend and mitigate its far-reaching consequences. Artificial …

Ethics in AI through the practitioner's view: a grounded theory literature review

A Pant, R Hoda, C Tantithamthavorn… - Empirical Software …, 2024 - Springer
The term ethics is widely used, explored, and debated in the context of developing Artificial
Intelligence (AI) based software systems. In recent years, numerous incidents have raised …

Developing an explainable machine learning-based thyroid disease prediction model

SK Arjaria, AS Rathore, G Chaubey - International Journal of …, 2022 - igi-global.com
Healthcare and medicine are key areas where machine learning algorithms are widely
used. The medical decision support systems thus created are accurate enough, however …

[图书][B] AI for healthcare robotics

E Fosch-Villaronga, H Drukarch - 2022 - api.taylorfrancis.com
What is artificial intelligence (AI)? What is healthcare robotics? How can AI and healthcare
robotics assist in contemporary medicine? Robotics and AI can offer society unimaginable …

A fully automatic, interpretable and adaptive machine learning approach to map burned area from remote sensing

D Stroppiana, G Bordogna, M Sali, M Boschetti… - … International Journal of …, 2021 - mdpi.com
The paper proposes a fully automatic algorithm approach to map burned areas from remote
sensing characterized by human interpretable mapping criteria and explainable results. This …

A data analytics organisation's perspective on trust and AI adoption

D Smit, S Eybers, J Smith - Southern African Conference for Artificial …, 2021 - Springer
Artificial Intelligence (AI) has the ability to self-learn, act autonomously and exhibits
anthropomorphised characteristics. As a result, it is a powerful technology for organisations …

Towards personalized explanations for AI systems: designing a role model for explainable AI in auditing

J Rebstadt, F Remark, P Fukas, P Meier, O Thomas - 2022 - aisel.aisnet.org
Due to a continuously growing repertoire of available methods and applications, Artificial
Intelligence (AI) is becoming an innovation driver for most industries. In the auditing domain …

Mind The Gap: Designers and Standards on Algorithmic System Transparency for Users

BGS Schor, C Norval, E Charlesworth… - Proceedings of the CHI …, 2024 - dl.acm.org
Many call for algorithmic systems to be more transparent, yet it is often unclear for designers
how to do so in practice. Standards are emerging that aim to support designers in building …