A systematic review of artificial intelligence impact assessments

BC Stahl, J Antoniou, N Bhalla, L Brooks… - Artificial Intelligence …, 2023 - Springer
Artificial intelligence (AI) is producing highly beneficial impacts in many domains, from
transport to healthcare, from energy distribution to marketing, but it also raises concerns …

Essential properties and explanation effectiveness of explainable artificial intelligence in healthcare: A systematic review

J Jung, H Lee, H Jung, H Kim - Heliyon, 2023 - cell.com
Background Significant advancements in the field of information technology have influenced
the creation of trustworthy explainable artificial intelligence (XAI) in healthcare. Despite …

[HTML][HTML] Responsible innovation ecosystems: Ethical implications of the application of the ecosystem concept to artificial intelligence

BC Stahl - International Journal of Information Management, 2022 - Elsevier
The concept of innovation ecosystems has become prominent due to its explanatory power.
It offers a convincing account of innovation, explaining how and why innovation pathways …

Ethics-based auditing of automated decision-making systems: Nature, scope, and limitations

J Mökander, J Morley, M Taddeo, L Floridi - Science and Engineering …, 2021 - Springer
Important decisions that impact humans lives, livelihoods, and the natural environment are
increasingly being automated. Delegating tasks to so-called automated decision-making …

The social and ethical impacts of artificial intelligence in agriculture: map** the agricultural AI literature

M Ryan - Ai & Society, 2023 - Springer
This paper will examine the social and ethical impacts of using artificial intelligence (AI) in
the agricultural sector. It will identify what are some of the most prevalent challenges and …

[HTML][HTML] Ethical challenges in the development of virtual assistants powered by large language models

A Piñeiro-Martín, C García-Mateo, L Docío-Fernández… - Electronics, 2023 - mdpi.com
Virtual assistants (VAs) have gained widespread popularity across a wide range of
applications, and the integration of Large Language Models (LLMs), such as ChatGPT, has …

[HTML][HTML] Artificial Intelligence (AI) trust framework and maturity model: applying an entropy lens to improve security, privacy, and ethical AI

M Mylrea, N Robinson - Entropy, 2023 - mdpi.com
Recent advancements in artificial intelligence (AI) technology have raised concerns about
the ethical, moral, and legal safeguards. There is a pressing need to improve metrics for …

Actionable principles for artificial intelligence policy: three pathways

C Stix - Science and engineering ethics, 2021 - Springer
In the development of governmental policy for artificial intelligence (AI) that is informed by
ethics, one avenue currently pursued is that of drawing on “AI Ethics Principles”. However …

Operationalising AI governance through ethics-based auditing: an industry case study

J Mökander, L Floridi - AI and Ethics, 2023 - Springer
Ethics-based auditing (EBA) is a structured process whereby an entity's past or present
behaviour is assessed for consistency with moral principles or norms. Recently, EBA has …

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

K Lekadir, AF Frangi, AR Porras, B Glocker, C Cintas… - bmj, 2025 - bmj.com
Despite major advances in artificial intelligence (AI) research for healthcare, the deployment
and adoption of AI technologies remain limited in clinical practice. This paper describes the …