Living with Autonomy: Public Perceptions of an AI-Mediated Future

Kaßens-Noor, Eva; Wilson, Mark; Kotval-Karamchandani, Zeenat; Cai, Meng; Decaminada, Travis

doi:10.1177/0739456x20984529

Cited by 14 publications

(6 citation statements)

References 69 publications

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“…To measure public perceptions of AI about perceived benefits, risks, and trust, we developed constructs by following the lead of the academic literature on AI, public perceptions, and government decision automation (e.g. Fraszczyk and Mulley 2017 ; Araujo et al 2020 ; Peng 2020 ; Stai et al 2020 ; Cui and Wu 2021 ; Dennis et al 2021 ; Kassens-Noor et al 2021 ; Selwyn and Gallo Cordoba 2021 ). All items were measured on a 7-point Likert scale ranging from “disagree” to “agree” for perceived benefits and risks, and “distrust” to “trust” for the trust construct.…”

Section: Methodsmentioning

confidence: 99%

Drivers behind the public perception of artificial intelligence: insights from major Australian cities

2022

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Artificial intelligence (AI) is not only disrupting industries and businesses, particularly the ones have fallen behind the adoption, but also significantly impacting public life as well. This calls for government authorities pay attention to public opinions and sentiments towards AI. Nonetheless, there is limited knowledge on what the drivers behind the public perception of AI are. Bridging this gap is the rationale of this paper. As the methodological approach, the study conducts an online public perception survey with the residents of Sydney, Melbourne, and Brisbane, and explores the collected survey data through statistical analysis. The analysis reveals that: (a) the public is concerned of AI invading their privacy, but not much concerned of AI becoming more intelligent than humans; (b) the public trusts AI in their lifestyle, but the trust is lower for companies and government deploying AI; (c) the public appreciates the benefits of AI in urban services and disaster management; (d) depending on the local context, public perceptions vary; and (e) the drivers behind the public perception include gender, age, AI knowledge, and AI experience. The findings inform authorities in developing policies to minimise public concerns and maximise AI awareness.

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Section: Methodsmentioning

confidence: 99%

Drivers behind the public perception of artificial intelligence: insights from major Australian cities

2022

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“…At present, AI is not only becoming an integral part of urban services, but also is impacting and shaping the future of living and cities [153,154]. Nevertheless, the current AI practice has shown that urban innovation without responsibility generates more problems than it solves.…”

Section: Concluding Remarks and Research Agendamentioning

confidence: 99%

Responsible Urban Innovation with Local Government Artificial Intelligence (AI): A Conceptual Framework and Research Agenda

Yiğitcanlar

Corchado

Mehmood

et al. 2021

Journal of Open Innovation: Technology, Market, and Complexity

132

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The urbanization problems we face may be alleviated using innovative digital technology. However, employing these technologies entails the risk of creating new urban problems and/or intensifying the old ones instead of alleviating them. Hence, in a world with immense technological opportunities and at the same time enormous urbanization challenges, it is critical to adopt the principles of responsible urban innovation. These principles assure the delivery of the desired urban outcomes and futures. We contribute to the existing responsible urban innovation discourse by focusing on local government artificial intelligence (AI) systems, providing a literature and practice overview, and a conceptual framework. In this perspective paper, we advocate for the need for balancing the costs, benefits, risks and impacts of developing, adopting, deploying and managing local government AI systems in order to achieve responsible urban innovation. The statements made in this perspective paper are based on a thorough review of the literature, research, developments, trends and applications carefully selected and analyzed by an expert team of investigators. This study provides new insights, develops a conceptual framework and identifies prospective research questions by placing local government AI systems under the microscope through the lens of responsible urban innovation. The presented overview and framework, along with the identified issues and research agenda, offer scholars prospective lines of research and development; where the outcomes of these future studies will help urban policymakers, managers and planners to better understand the crucial role played by local government AI systems in ensuring the achievement of responsible outcomes.

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“…Such a system may counter AV opponents' arguments by providing assurance that the AI's code is not merely rational and logical, but rather supported by a common and shared moral or ethical code. In particular, people's adoption of AI is likely if AI solution remain a tool to support work and not replace human-centered interaction (Kassens-Noor et al, 2021a). Precedence in other fields that had to make crucial choices between the greater public good and individual choices exist as they too have come to rely on AI analyzing big data.…”

Section: Literature Reviewmentioning

confidence: 99%

Choosing Ethics Over Morals: A Possible Determinant to Embracing Artificial Intelligence in Future Urban Mobility

Kaßens-Noor¹,

Siegel²,

Decaminada³

2021

Front. Sustain. Cities

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Artificial Intelligence (AI) is becoming integral to human life, and the successful wide-scale uptake of autonomous and automated vehicles (AVs) will depend upon people's willingness to adopt and accept AI-based technology and its choices. A person's state of mind, a fundamental belief evolving out of an individual's character, personal choices, intrinsic motivation, and general way of life forming perceptions about how society should be governed, influences AVs perception. The state of mind includes perceptions about governance of autonomous vehicles' artificial intelligence (AVAI) and thus has an impact on a person's willingness to adopt and use AVs. However, one determinant of whether AVAI should be driven by society's ethics or the driver's morals, a “state of mind” variable, has not been studied. We asked 1,473 student, staff, and employee respondents at a university campus whether they prefer an AVAI learn their owners own personal morals (one's own principles) or adopt societal ethics (codes of conduct provided by an external source). Respondents were almost evenly split between whether AVAI should rely on ethics (45.6%) or morals (54.4%). Personal morals and societal ethics are not necessarily distinct and different. Sometimes both overlap and discrepancies are settled in court. However, with an AVAI these decision algorithms must be preprogrammed and the fundamental difference thus is whether an AI should learn from the individual driver (this is the status quo on how we drive today) or from society incorporating millions of drivers' choices. Both are bounded by law. Regardless, to successfully govern artificial intelligence in cities, policy-makers must thus bridge the deep divide between individuals who choose morals over ethics and vice versa.

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Living with Autonomy: Public Perceptions of an AI-Mediated Future

Cited by 14 publications

References 69 publications

Drivers behind the public perception of artificial intelligence: insights from major Australian cities

Drivers behind the public perception of artificial intelligence: insights from major Australian cities

Responsible Urban Innovation with Local Government Artificial Intelligence (AI): A Conceptual Framework and Research Agenda

Choosing Ethics Over Morals: A Possible Determinant to Embracing Artificial Intelligence in Future Urban Mobility

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