AI governance: themes, knowledge gaps and future agendas
Purpose Following the surge of documents laying out organizations' ethical principles for
their use of artificial intelligence (AI), there is a growing demand for translating ethical …
their use of artificial intelligence (AI), there is a growing demand for translating ethical …
A meta-summary of challenges in building products with ml components–collecting experiences from 4758+ practitioners
Incorporating machine learning (ML) components into software products raises new
software-engineering challenges and exacerbates existing ones. Many researchers have …
software-engineering challenges and exacerbates existing ones. Many researchers have …
Continuous auditing of artificial intelligence: A conceptualization and assessment of tools and frameworks
M Minkkinen, J Laine, M Mäntymäki - Digital Society, 2022 - Springer
Artificial intelligence (AI), which refers to both a research field and a set of technologies, is
rapidly growing and has already spread to application areas ranging from policing to …
rapidly growing and has already spread to application areas ranging from policing to …
Black box no more: a scoping review of AI governance frameworks to guide procurement and adoption of AI in medical imaging and radiotherapy in the UK
N Stogiannos, R Malik, A Kumar… - The British Journal of …, 2023 - academic.oup.com
Technological advancements in computer science have started to bring artificial intelligence
(AI) from the bench closer to the bedside. While there is still lots to do and improve, AI …
(AI) from the bench closer to the bedside. While there is still lots to do and improve, AI …
Putting AI ethics into practice: The hourglass model of organizational AI governance
The organizational use of artificial intelligence (AI) has rapidly spread across various
sectors. Alongside the awareness of the benefits brought by AI, there is a growing …
sectors. Alongside the awareness of the benefits brought by AI, there is a growing …
Large language models as subpopulation representative models: A review
Of the many commercial and scientific opportunities provided by large language models
(LLMs; including Open AI's ChatGPT, Meta's LLaMA, and Anthropic's Claude), one of the …
(LLMs; including Open AI's ChatGPT, Meta's LLaMA, and Anthropic's Claude), one of the …
Discerning between the “easy” and “hard” problems of AI governance
M Minkkinen, M Mäntymäki - IEEE Transactions on Technology …, 2023 - ieeexplore.ieee.org
While there is widespread consensus that artificial intelligence (AI) needs to be governed
owing to its rapid diffusion and societal implications, the current scholarly discussion on AI …
owing to its rapid diffusion and societal implications, the current scholarly discussion on AI …
[PDF][PDF] Designing an AI governance framework: From research-based premises to meta-requirements.
The development and increasing use of artificial intelligence (AI), particularly in high-risk
application areas, calls for attention to the governance of AI systems. Organizations and …
application areas, calls for attention to the governance of AI systems. Organizations and …
Quality assurance strategies for machine learning applications in big data analytics: an overview
M Ogrizović, D Drašković, D Bojić - Journal of Big Data, 2024 - Springer
Abstract Machine learning (ML) models have gained significant attention in a variety of
applications, from computer vision to natural language processing, and are almost always …
applications, from computer vision to natural language processing, and are almost always …
MLOps as enabler of trustworthy AI
Y Billeter, P Denzel, R Chavarriaga… - 2024 11th IEEE …, 2024 - ieeexplore.ieee.org
As Artificial Intelligence (AI) systems are becoming ever more capable of performing
complex tasks, their prevalence in industry, as well as society, is increasing rapidly …
complex tasks, their prevalence in industry, as well as society, is increasing rapidly …