[HTML][HTML] Artificial intelligence (AI) and information systems: perspectives to responsible AI
AI provides many transformational benefits to organisations across all industries and sectors
(Alshahrani et al., 2021; Dennehy et al., 2022; Dwivedi et al., 2021; Elbanna et al., 2020; …
(Alshahrani et al., 2021; Dennehy et al., 2022; Dwivedi et al., 2021; Elbanna et al., 2020; …
Effect of confidence and explanation on accuracy and trust calibration in AI-assisted decision making
Today, AI is being increasingly used to help human experts make decisions in high-stakes
scenarios. In these scenarios, full automation is often undesirable, not only due to the …
scenarios. In these scenarios, full automation is often undesirable, not only due to the …
[HTML][HTML] From fear to action: AI governance and opportunities for all
OpenAI's GPT-4 (OpenAI, 2023) reignited the public discussions regarding Artificial
Intelligence (AI) and its risks. In a recent open letter (Future of Life Institute, 2023) technology …
Intelligence (AI) and its risks. In a recent open letter (Future of Life Institute, 2023) technology …
Bias, fairness, and assurance in AI: overview and synthesis
AAK Stine, H Kavak - AI Assurance, 2023 - Elsevier
Artificial Intelligence (AI) has provided one of the most significant breakthroughs in
computing in the past several decades. From the automated landing of space rovers on the …
computing in the past several decades. From the automated landing of space rovers on the …
Peeking inside the black-box: a survey on explainable artificial intelligence (XAI)
At the dawn of the fourth industrial revolution, we are witnessing a fast and widespread
adoption of artificial intelligence (AI) in our daily life, which contributes to accelerating the …
adoption of artificial intelligence (AI) in our daily life, which contributes to accelerating the …
Calibrating human-ai collaboration: Impact of risk, ambiguity and transparency on algorithmic bias
P Schmidt, F Biessmann - … Learning and Knowledge Extraction: 4th IFIP …, 2020 - Springer
Abstract Transparent Machine Learning (ML) is often argued to increase trust into
predictions of algorithms however the growth of new interpretability approaches is not …
predictions of algorithms however the growth of new interpretability approaches is not …
Tech workers' perspectives on ethical issues in AI development: Foregrounding feminist approaches
J Browne, E Drage, K McInerney - Big Data & Society, 2024 - journals.sagepub.com
While tech workers are essential stakeholders in ethical artificial intelligence (AI)
development and deployment, they are rarely consulted about their understanding of the …
development and deployment, they are rarely consulted about their understanding of the …
Responsible design patterns for machine learning pipelines
Integrating ethical practices into the AI development process for artificial intelligence (AI) is
essential to ensure safe, fair, and responsible operation. AI ethics involves applying ethical …
essential to ensure safe, fair, and responsible operation. AI ethics involves applying ethical …
AI safety: state of the field through quantitative lens
Last decade has seen major improvements in the performance of artificial intelligence which
has driven wide-spread applications. Unforeseen effects of such massad-option has put the …
has driven wide-spread applications. Unforeseen effects of such massad-option has put the …
[HTML][HTML] Worldwide AI ethics: A review of 200 guidelines and recommendations for AI governance
The utilization of artificial intelligence (AI) applications has experienced tremendous growth
in recent years, bringing forth numerous benefits and conveniences. However, this …
in recent years, bringing forth numerous benefits and conveniences. However, this …