Extended requirements traceability: results of an industrial case study [PDF]
, 1997 Contribution structures offer a way to model the network of people who have participated in the requirements engineering process. They further provide the opportunity to extend conventional forms of artifact-based requirements traceability with the ...
Finkelstein, A., Gotel, O.
core +4 more sources
Approaches for retraining sEMG classifiers for upper-limb prostheses
Frontiers in NeuroroboticsIntroductionAbandonment rates for myoelectric upper limb prostheses can reach 44%, negatively affecting quality of life and increasing the risk of injury due to compensatory movements.
Tom Donnelly +7 more
doaj +1 more source
Ethics of Artificial Intelligence [PDF]
, 2021 Artificial intelligence (AI) is a digital technology that will be of major importance for the development of humanity in the near future. AI has raised fundamental questions about what we should do with such systems, what the systems themselves should do,
Müller, Vincent C.
core
AI testing, evaluation, verification and validation for accessibility: a comprehensive framework
Frontiers in Digital HealthAs artificial intelligence (AI) systems continue to remain prevalent in society, ensuring their accessibility for all users, including those with disabilities, is of great importance.
Gabriella Waters, Gabriella Waters
doaj +1 more source
Combining the Power of Artificial Intelligence with the Richness of Healthcare Claims Data: Opportunities and Challenges [PDF]
, 2019 Combinations of healthcare claims data with additional datasets provide large and rich sources of information. The dimensionality and complexity of these combined datasets can be challenging to handle with standard statistical analyses.
Dadson, Nick +5 more
core +1 more source
Unravelling Responsibility for Ai
Journal of Responsible TechnologyIt is widely acknowledged that we need to establish where responsibility lies for the outputs and impacts of AI-enabled systems. This is important to achieve justice and compensation for victims of AI harms, and to inform policy and engineering practice.
Porter, Zoe +6 more
openaire +6 more sources
When your error becomes my error : anterior insula activation in response to observed errors is modulated by agency [PDF]
, 2015 Research on error observation has focused predominantly on situations in which individuals are passive observers of errors. In daily life, however, we are often jointly responsible for the mistakes of others.
Brass, Marcel +2 more
core +2 more sources
How can we manage biases in artificial intelligence systems – A systematic literature review
International Journal of Information Management Data Insights, 2023 Artificial intelligence is similar to human intelligence, and robots in organisations always perform human tasks. However, AI encounters a variety of biases during its operational process in the online economy.
Dr. Varsha P．S．
doaj +1 more source
And the Robot Asked "What do you say I am?" Can Artificial Intelligence Help Theologians and Scientists Understand Free Moral Agency? [PDF]
, 2012 Concepts of human beings as free and morally responsible agents are shared culturally by scientists and Christian theologians. Accomiplishments of the "artificial intelligence" (AI) branch of computer science now suggest the possibility of an advanced ...
Metzler, Theodore
core +1 more source
Not All That Can Be Automated Should Be Automated – Strategic Minimalism as a Disciplined and Ethically Grounded Approach to AI Adoption [PDF]
Business Ethics and LeadershipAs organizations accelerate the adoption and use of artificial intelligence, a common misconception arises that equates automation with progress and strategic necessity. This paper argues that not all that can be automated should be automated.
Victor Frimpong
doaj +1 more source