Auditing large language models: a three-layered approach

J Mökander, J Schuett, HR Kirk, L Floridi - AI and Ethics, 2024 - Springer
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 …

AI solutions for developmental economics: opportunities and challenges in financial inclusion and poverty alleviation

TO Jejeniwa, NZ Mhlongo, TO Jejeniwa - International Journal of …, 2024 - fepbl.com
AI presents immense potential in addressing the complex challenges of developmental
economics, particularly in the realms of financial inclusion and poverty alleviation. This …

Auditing of AI: Legal, ethical and technical approaches

J Mökander - Digital Society, 2023 - Springer
AI auditing is a rapidly growing field of research and practice. This review article, which
doubles as an editorial to Digital Society's topical collection on 'Auditing of AI', provides an …

Investigating accountability for artificial intelligence through risk governance: A workshop-based exploratory study

E Hohma, A Boch, R Trauth, C Lütge - Frontiers in Psychology, 2023 - frontiersin.org
Introduction With the growing prevalence of AI-based systems and the development of
specific regulations and standardizations in response, accountability for consequences …

Beyond ideals: why the (medical) AI industry needs to motivate behavioural change in line with fairness and transparency values, and how it can do it

A Liefgreen, N Weinstein, S Wachter, B Mittelstadt - AI & society, 2024 - Springer
Artificial intelligence (AI) is increasingly relied upon by clinicians for making diagnostic and
treatment decisions, playing an important role in imaging, diagnosis, risk analysis, lifestyle …

The switch, the ladder, and the matrix: Models for classifying AI systems

J Mökander, M Sheth, DS Watson, L Floridi - Minds and Machines, 2023 - Springer
Organisations that design and deploy artificial intelligence (AI) systems increasingly commit
themselves to high-level, ethical principles. However, there still exists a gap between …

The whack-a-mole governance challenge for AI-enabled synthetic biology: literature review and emerging frameworks

TA Undheim - Frontiers in Bioengineering and Biotechnology, 2024 - frontiersin.org
AI-enabled synthetic biology has tremendous potential but also significantly increases
biorisks and brings about a new set of dual use concerns. The picture is complicated given …

[HTML][HTML] The Impact of Artificial Intelligence on Corporate Governance

G Kalkan - Корпоративные финансы, 2024 - cyberleninka.ru
The advent of artificial intelligence (AI) marks a pivotal shift in the landscape of corporate
governance, catalyzing a reevaluation of traditional frameworks and necessitating a forward …

The Principle-at-Risk Analysis (PaRA): Operationalising Digital Ethics by Bridging Principles and Operations of a Digital Ethics Advisory Panel

AT Nemat, SJ Becker, S Lucas, S Thomas, I Gadea… - Minds and …, 2023 - Springer
Recent attempts to develop and apply digital ethics principles to address the challenges of
the digital transformation leave organisations with an operationalisation gap. To successfully …

Digital Transformation (DT) and Artificial Intelligence (AI) Convergence in Organizations

K Feroz, M Kwak - Journal of Computer Information Systems, 2024 - Taylor & Francis
Digital transformation (DT) and Artificial Intelligence (AI) are increasingly becoming a top
agenda for organizations. As organizations navigate the transformative landscape of DT, the …