Adaptive Psychological Profiling from Nonverbal Behavior – Why Are Ethics Just Not Enough to Build Trust?

Crockett, Keeley

doi:10.1007/978-3-030-79092-9_3

Cited by 1 publication

(1 citation statement)

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“…The survey comprises 35 questions and is available online (https://mmu.onlinesurveys.ac.uk/public-opinions-onartificial-intelligence). The questions have been formulated based on a) reviews of recent national and international public surveys [19,25]; b) discussion with community groups in the UK; c) public engagement activities carried out at the Museum of Science and Industry, Manchester UK in October 2018 and October 2019 [26]; and d) a review of educational courses for members of the public to learn about AI. Table I lists all demographic questions in the survey, whilst Table II lists the subset of questions from the survey relevant to the specific aim of this paper.…”

Section: A) Study Designmentioning

confidence: 99%

The Ethical Landscape of Data and Artificial Intelligence: Citizen Perspectives

Crockett

Colyer

Latham

2021

2021 IEEE Symposium Series on Computational Intelligence (SSCI)

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Globally, there is growing acknowledgement that those involved in the development and deployment of AI products and services should act responsibly and conduct their work within robust ethical frameworks. Many of the ethical guidelines now published highlight a requirement for citizens to have greater voice and involvement in this process and to hold actors to account regarding compliance and the impacts of their AI innovations. For citizens to participate in cocreation activities they need to be representative of the diverse communities of society and have an appropriate level of understanding of basic AI concepts. This paper presents the preliminary results of a longitudinal survey designed to capture citizen perspectives of the ethical landscape of data and AI. Forty participants were asked to participate in a survey and results were analyzed based on gender, age range and educational attainment. Results have shown that participant perception of AI, trust, bias and fairness is different but related to specific AI applications, and the context in which is applied. Citizens also are also very receptive to undertaking free courses/workshops on a wide range of AI concepts, ranging from family workshops to work-based training.

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Section: A) Study Designmentioning

confidence: 99%