Integrating transparency, trust, and acceptance: The intelligent systems technology acceptance model (ISTAM)

ES Vorm, DJY Combs - International Journal of Human–Computer …, 2022 - Taylor & Francis
Intelligent systems such as technologies related to artificial intelligence, robotics, machine
learning, etc. open new insights into data and expand the concept of work in myriad …

Stakeholder engagement strategy of technology firms: A review and applied view of stakeholder theory

MU Shah, PD Guild - Technovation, 2022 - Elsevier
This research explores how managers and leaders of the information and communications
technology (ICT) firms perceive receptiveness of start-up, growth, or mature developmental …

Algorithmic bias in data-driven innovation in the age of AI

S Akter, G McCarthy, S Sajib, K Michael… - International Journal of …, 2021 - Elsevier
Data-driven innovation (DDI) gains its prominence due to its potential to transform
innovation in the age of AI. Digital giants Amazon, Alibaba, Google, Apple, and Facebook …

The ethics of algorithms: key problems and solutions

A Tsamados, N Aggarwal, J Cowls, J Morley… - Ethics, governance, and …, 2021 - Springer
Research on the ethics of algorithms has grown substantially over the past decade.
Alongside the exponential development and application of machine learning algorithms …

Experiencing algorithms: How young people understand, feel about, and engage with algorithmic news selection on social media

J Swart - Social media+ society, 2021 - journals.sagepub.com
The news that young people consume is increasingly subject to algorithmic curation. Yet,
while numerous studies explore how algorithms exert power in citizens' everyday life, little is …

In AI we trust? Perceptions about automated decision-making by artificial intelligence

T Araujo, N Helberger, S Kruikemeier, CH De Vreese - AI & society, 2020 - Springer
Fueled by ever-growing amounts of (digital) data and advances in artificial intelligence,
decision-making in contemporary societies is increasingly delegated to automated …

User perceptions of algorithmic decisions in the personalized AI system: Perceptual evaluation of fairness, accountability, transparency, and explainability

D Shin - Journal of Broadcasting & Electronic Media, 2020 - Taylor & Francis
With the growing presence of algorithms and their far-reaching effects, artificial intelligence
(AI) will be mainstream trends any time soon. Despite this surging popularity, little is known …

[HTML][HTML] Beyond bias and discrimination: redefining the AI ethics principle of fairness in healthcare machine-learning algorithms

B Giovanola, S Tiribelli - AI & society, 2023 - Springer
The increasing implementation of and reliance on machine-learning (ML) algorithms to
perform tasks, deliver services and make decisions in health and healthcare have made the …

[图书][B] If... then: Algorithmic power and politics

T Bucher - 2018 - books.google.com
We live in a world in which Google's search algorithms determine how we access
information, Facebook's News Feed algorithms shape how we socialize, and Netflix …

Trends and trajectories for explainable, accountable and intelligible systems: An hci research agenda

A Abdul, J Vermeulen, D Wang, BY Lim… - Proceedings of the …, 2018 - dl.acm.org
Advances in artificial intelligence, sensors and big data management have far-reaching
societal impacts. As these systems augment our everyday lives, it becomes increasing-ly …