Towards transparency by design for artificial intelligence
In this article, we develop the concept of Transparency by Design that serves as practical
guidance in hel** promote the beneficial functions of transparency while mitigating its …
guidance in hel** promote the beneficial functions of transparency while mitigating its …
Map** the ethicality of algorithmic pricing: A review of dynamic and personalized pricing
Firms increasingly deploy algorithmic pricing approaches to determine what to charge for
their goods and services. Algorithmic pricing can discriminate prices both dynamically over …
their goods and services. Algorithmic pricing can discriminate prices both dynamically over …
The ethics of algorithms: key problems and solutions
Research on the ethics of algorithms has grown substantially over the past decade.
Alongside the exponential development and application of machine learning algorithms …
Alongside the exponential development and application of machine learning algorithms …
[HTML][HTML] From what to how: an initial review of publicly available AI ethics tools, methods and research to translate principles into practices
The debate about the ethical implications of Artificial Intelligence dates from the 1960s
(Samuel in Science, 132 (3429): 741–742, 1960. https://doi. org/10.1126/science. 132.3429 …
(Samuel in Science, 132 (3429): 741–742, 1960. https://doi. org/10.1126/science. 132.3429 …
Algorithmic management in a work context
The rapid development of machine-learning algorithms, which underpin contemporary
artificial intelligence systems, has created new opportunities for the automation of work …
artificial intelligence systems, has created new opportunities for the automation of work …
Artificial intelligence based decision-making in accounting and auditing: ethical challenges and normative thinking
Purpose This paper aims to identify ethical challenges of using artificial intelligence (AI)-
based accounting systems for decision-making and discusses its findings based on Rest's …
based accounting systems for decision-making and discusses its findings based on Rest's …
Ethics as a service: a pragmatic operationalisation of AI ethics
As the range of potential uses for Artificial Intelligence (AI), in particular machine learning
(ML), has increased, so has awareness of the associated ethical issues. This increased …
(ML), has increased, so has awareness of the associated ethical issues. This increased …
Beware of botshit: How to manage the epistemic risks of generative chatbots
Advances in large language model (LLM) technology enable chatbots to generate and
analyze content for our work. Generative chatbots do this work by 'predicting'responses …
analyze content for our work. Generative chatbots do this work by 'predicting'responses …
Beyond bias and discrimination: redefining the AI ethics principle of fairness in healthcare machine-learning algorithms
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 …
perform tasks, deliver services and make decisions in health and healthcare have made the …
Operationalising AI ethics: barriers, enablers and next steps
By mid-2019 there were more than 80 AI ethics guides available in the public domain.
Despite this, 2020 saw numerous news stories break related to ethically questionable uses …
Despite this, 2020 saw numerous news stories break related to ethically questionable uses …