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From ethical AI frameworks to tools: a review of approaches
In reaction to concerns about a broad range of potential ethical issues, dozens of proposals
for addressing ethical aspects of artificial intelligence (AI) have been published. However …
for addressing ethical aspects of artificial intelligence (AI) have been published. However …
The ethics of ChatGPT in medicine and healthcare: a systematic review on Large Language Models (LLMs)
With the introduction of ChatGPT, Large Language Models (LLMs) have received enormous
attention in healthcare. Despite potential benefits, researchers have underscored various …
attention in healthcare. Despite potential benefits, researchers have underscored various …
Five sources of bias in natural language processing
Recently, there has been an increased interest in demographically grounded bias in natural
language processing (NLP) applications. Much of the recent work has focused on describing …
language processing (NLP) applications. Much of the recent work has focused on describing …
Artificial intelligence regulation: a framework for governance
This article develops a conceptual framework for regulating Artificial Intelligence (AI) that
encompasses all stages of modern public policy-making, from the basics to a sustainable …
encompasses all stages of modern public policy-making, from the basics to a sustainable …
[ספר][B] Responsible artificial intelligence: how to develop and use AI in a responsible way
V Dignum - 2019 - Springer
In this book, the author examines the ethical implications of Artificial Intelligence systems as
they integrate and replace traditional social structures in new sociocognitive-technological …
they integrate and replace traditional social structures in new sociocognitive-technological …
Ethical perceptions of AI in hiring and organizational trust: The role of performance expectancy and social influence
The use of artificial intelligence (AI) in hiring entails vast ethical challenges. As such, using
an ethical lens to study this phenomenon is to better understand whether and how AI matters …
an ethical lens to study this phenomenon is to better understand whether and how AI matters …
Map** value sensitive design onto AI for social good principles
Value sensitive design (VSD) is an established method for integrating values into technical
design. It has been applied to different technologies and, more recently, to artificial …
design. It has been applied to different technologies and, more recently, to artificial …
Ethics from within: Google Glass, the Collingridge dilemma, and the mediated value of privacy
Following the “control dilemma” of Collingridge, influencing technological developments is
easy when their implications are not yet manifest, yet once we know these implications, they …
easy when their implications are not yet manifest, yet once we know these implications, they …
AI hype as a cyber security risk: The moral responsibility of implementing generative AI in business
This paper examines the ethical obligations companies have when implementing generative
Artificial Intelligence (AI). We point to the potential cyber security risks companies are …
Artificial Intelligence (AI). We point to the potential cyber security risks companies are …
Exclusion by design: intersections of social, digital and data exclusion
As smart technologies such as artificial intelligence (AI), automation and Internet of Things
(IoT) are increasingly embedded into commercial and government services, we are faced …
(IoT) are increasingly embedded into commercial and government services, we are faced …