AI and global governance: modalities, rationales, tensions
Artificial intelligence (AI) is a salient but polarizing issue of recent times. Actors around the
world are engaged in building a governance regime around it. What exactly the “it” is that is …
world are engaged in building a governance regime around it. What exactly the “it” is that is …
Ethics-based AI auditing: A systematic literature review on conceptualizations of ethical principles and knowledge contributions to stakeholders
J Laine, M Minkkinen, M Mäntymäki - Information & Management, 2024 - Elsevier
This systematic literature review synthesizes the conceptualizations of ethical principles in AI
auditing literature and the knowledge contributions to the stakeholders of AI auditing. We …
auditing literature and the knowledge contributions to the stakeholders of AI auditing. We …
Auditing large language models: a three-layered approach
Large language models (LLMs) represent a major advance in artificial intelligence (AI)
research. However, the widespread use of LLMs is also coupled with significant ethical and …
research. However, the widespread use of LLMs is also coupled with significant ethical and …
Understanding accountability in algorithmic supply chains
Academic and policy proposals on algorithmic accountability often seek to understand
algorithmic systems in their socio-technical context, recognising that they are produced by …
algorithmic systems in their socio-technical context, recognising that they are produced by …
Auditing algorithms: Understanding algorithmic systems from the outside in
Algorithms are ubiquitous and critical sources of information online, increasingly acting as
gatekeepers for users accessing or sharing information about virtually any topic, including …
gatekeepers for users accessing or sharing information about virtually any topic, including …
Exploring how machine learning practitioners (try to) use fairness toolkits
Recent years have seen the development of many open-source ML fairness toolkits aimed
at helping ML practitioners assess and address unfairness in their systems. However, there …
at helping ML practitioners assess and address unfairness in their systems. However, there …
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 …
behaviour is assessed for consistency with moral principles or norms. Recently, EBA has …
Ethical assurance: a practical approach to the responsible design, development, and deployment of data-driven technologies
C Burr, D Leslie - AI and Ethics, 2023 - Springer
This article offers several contributions to the interdisciplinary project of responsible
research and innovation in data science and AI. First, it provides a critical analysis of current …
research and innovation in data science and AI. First, it provides a critical analysis of current …
Out of Context: Investigating the Bias and Fairness Concerns of “Artificial Intelligence as a Service”
“AI as a Service”(AIaaS) is a rapidly growing market, offering various plug-and-play AI
services and tools. AIaaS enables its customers (users)—who may lack the expertise, data …
services and tools. AIaaS enables its customers (users)—who may lack the expertise, data …
Contestable AI by design: towards a framework
As the use of AI systems continues to increase, so do concerns over their lack of fairness,
legitimacy and accountability. Such harmful automated decision-making can be guarded …
legitimacy and accountability. Such harmful automated decision-making can be guarded …