Who’s Driving Innovation?: New Technologies and the Collaborative State
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The first pedestrian fatality caused by an autonomous car occurred in Tempe (Arizona) in March 2018.
“This is the case of the first pedestrian fatality caused by an autonomous car in Tempe (Arizona) in March 2018.”
From The sustainability of artificial intelligence: an urbanistic viewpoint from the lens of smart and sustainable cities (2020) · cites this paper as [173]
An autonomous Uber was incapable of dealing with the uncertainty typical of unconfined urban spaces, and its incapacity killed a woman crossing a road outside the designated crossing lane.
“An autonomous Uber was incapable of dealing with the uncertainty that is typical of unconfined urban spaces, and its incapacity killed a woman that was crossing a road outside the designated crossing lane [173].”
From The sustainability of artificial intelligence: an urbanistic viewpoint from the lens of smart and sustainable cities (2020) · cites this paper as [173]
Cited by
Sorted by citations
Yigitcanlar, T., & Cugurullo, F. (2020) · Sustainability · doi:10.3390/su12208548 · Cited by 337 · see citing works
Framing governance for a contested emerging technology:insights from AI policy
Ulnicane, I., Knight, W., Leach, T., Stahl, B. C., & Wanjiku, W.-G. (2020) · Policy and Society · doi:10.1080/14494035.2020.1855800 · Cited by 246 · see citing works
Pfotenhauer, S. M., Laurent, B., Papageorgiou, K., & Stilgoe, J. (2021) · Social Studies of Science · doi:10.1177/03063127211048945 · Cited by 205 · see citing works
“Some of Uber’s experiments have taken place invisibly, powered by its software and with its users as subjects, and some have treated the world as a physical lab, as with its high-stakes prototyping on public roads in Arizona, with bystanders as unwitting participants (Stilgoe, 2020).”
BackgroundSelf-citationThe rise of AI urbanism in post-smart cities: A critical commentary on urban artificial intelligence
Cugurullo, F., Caprotti, F., Cook, M., Karvonen, A., Mc̲Guirk, P., & Marvin, S. (2023) · Urban studies · doi:10.1177/00420980231203386 · Cited by 159 · see citing works
“It is a materiality that, in the worst-case scenario, can kill - as it has already happened in the field of autonomous transport when Elaine Herzberg was struck by a self-driving car in the city of Tempe, Arizona (Stilgoe, 2020).”
BackgroundEditorial: the dark side of innovation
Coad, A., Nightingale, P., Stilgoe, J., & Vezzani, A. (2020) · Industry and Innovation · doi:10.1080/13662716.2020.1818555 · Cited by 145 · see citing works
“It is convenient for innovators to label negative consequences as ‘unintended’, but they may be designed into the system – features, not bugs – or they may be deliberately unanticipated to avoid accountability (Stilgoe 2020).”
BackgroundSelf-citationCugurullo, F., & Acheampong, R. A. (2023) · AI & Society · doi:10.1007/s00146-022-01598-6 · Cited by 130 · see citing works
“In this sense, the killing of Elaine Herzberg on 18 March 2018 is a case in point since she was crossing a road in the absence of a crosswalk and the autonomous Uber that run over her, was not intelligent enough to handle this unexpected scenario (Stilgoe 2020).”
Responsibility beyond design: Physicians’ requirements for ethical medical AI
Sand, M., Durán, J. M., & Jongsma, K. R. (2021) · Bioethics · doi:10.1111/bioe.12887 · Cited by 109 · see citing works
Why a Right to an Explanation of Algorithmic Decision-Making Should Exist: A Trust-Based Approach
Kim, T. W., & Routledge, B. (2021) · Business Ethics Quarterly · doi:10.1017/beq.2021.3 · Cited by 89 · see citing works
Macrae, C. (2022) · Risk Analysis · doi:10.1111/risa.13850 · Cited by 76 · see citing works
Pattinson, J.-A., Chen, H., & Basu, S. (2020) · Humanities and Social Sciences Communications · doi:10.1057/s41599-020-00644-2 · Cited by 49 · see citing works
AIDA: A knowledge graph about research dynamics in academia and industry
Angioni, S., Salatino, A. A., Osborne, F., et al. (2021) · Quantitative Science Studies · doi:10.1162/qss_a_00162 · Cited by 38 · see citing works
Data, AI and governance in MaaS – Leading to sustainable mobility?
Servou, E., Behrendt, F., & Horst, M. (2023) · Transportation Research Interdisciplinary Perspectives · doi:10.1016/j.trip.2023.100806 · Cited by 43 · see citing works
Dastani, M. M., & Yazdanpanah, V. (2022) · AI & Society · doi:10.1007/s00146-022-01481-4 · Cited by 45 · see citing works
“We understand the behaviour of AI systems as a contextual phenomenon which requires extensive studies with appropriate degrees of granularity with respect to the domain of application, see, e.g., Stilgoe (2018, 2020).”
BackgroundUlnicane, I. (2022) · Global Public Policy and Governance · doi:10.1007/s43508-022-00049-8 · Cited by 36 · see citing works
“In contrast, challenge-oriented policy recognizes that technology can 1 3 Emerging technology for economic competitiveness or societal… have positive as well as negative outcomes on environment, health and equality (Coad et al., 2021; Edgerton, 2019; Stilgoe, 2020).”
BackgroundMethodDigital Peacebuilding: A Framework for Critical–Reflexive Engagement
Hirblinger, A. T., Hansen, J. M., Hoelscher, K., et al. (2022) · International Studies Perspectives · doi:10.1093/isp/ekac015 · Cited by 33 · see citing works
Drone Use for COVID‐19 Related Problems: Techno‐solutionism and its Societal Implications
Martins, B. O., Lavallée, C., & Silkoset, A. (2021) · Global Policy · doi:10.1111/1758-5899.13007 · Cited by 32 · see citing works
“We build on the literature on technological fixes and techno-solutionism that critiques a predominant confidence in new technology as ideally placed to respond to particular problems (Johnston, 2020; Milan, 2020; Morozov, 2013; Rosner, 2004; Stilgoe, 2020).”
BackgroundResponsibility Gaps, Value Alignment, and Meaningful Human Control over Artificial Intelligence
Nyholm, S. (2023) · Risk and Responsibility in Context · doi:10.4324/9781003276029-14 · Cited by 30 · see citing works
Ganesh, M. I. (2020) · Humanities and Social Sciences Communications · doi:10.1057/s41599-020-00646-0 · Cited by 32 · see citing works
“SAE levels can be misleading and dangerous but also ignore the many layers of automation that already exist in driving at present such as parallel parking, rear mirrors, lane-assist and other features (Stayton and Stilgoe, 2020; Roy, 2018).”
BackgroundWhat is robotics made of? The interdisciplinary politics of robotics research
Michalec, O., O’Donovan, C., & Sobhani, M. (2021) · Humanities and Social Sciences Communications · doi:10.1057/s41599-021-00737-6 · Cited by 33 · see citing works
“…paper, redirecting technological change in ways that are more beneficial to society requires political action that extends into the procedures and practices of research (Stilgoe, 2020; Lo Piano, 2020)—taking the form sometimes of policy, but often of mundane everyday choices made by researchers.”
BackgroundMicrodecisions and autonomy in self-driving cars: virtual probabilities
Sprenger, F. (2020) · AI & Society · doi:10.1007/s00146-020-01115-7 · Cited by 24 · see citing works
“Whether or not the use of fully autonomous vehicles (level 4 or 5) will ever be viable in all areas of the world is a matter of debate—and since 2019 more and more companies have begun to withdraw their market predictions as the complexities of the task have become clearer (Stilgoe 2020).”
BackgroundThe Security-Innovation Nexus in (Geo-)Political Imagination
Haddad, C., Vorlíček, D., & Klimburg-Witjes, N. (2024) · Geopolitics · doi:10.1080/14650045.2024.2329940 · Cited by 23 · see citing works
“…map the world’s national innovation systems and elaborate alternative concepts and policy frameworks, which have included social innovation , user-led innovation , and responsible innovation (Pfotenhauer and Winickoff 2018; Sébastien and Sandra 2019, Schot and Steinmueller 2018; Stilgoe 2020).”
BackgroundArtificial intelligence and human autonomy: the case of driving automation
Fossa, F. (2024) · AI & Society · doi:10.1007/s00146-024-01955-7 · Cited by 23 · see citing works
“As Stilgoe (2018, 2020) and Santoni de Sio (2021) suggest, resisting the simplification of technological solutionism and remaining aware of the social complexity of the task at hand is critical not to underestimate the actual size of the challenge.”
BackgroundImaginaries of Road Transport Automation in Finnish Governance Culture—A Critical Discourse Analysis
Olin, J. J., & Mladenović, M. N. (2022) · Sustainability · doi:10.3390/su14031437 · Cited by 21 · see citing works
ResearchFlow: Understanding the Knowledge Flow Between Academia and Industry
Salatino, A. A., Osborne, F., & Motta, E. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-61244-3_16 · Cited by 18 · see citing works
Macrae, C. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3832621 · Cited by 12 · see citing works
Experimenting with automated driving for technology or for the city? A matter of governance cultures
Servou, E., Mögele, M., & Torrens, J. C. L. (2022) · Frontiers in Sustainable Cities · doi:10.3389/frsc.2022.956853 · Cited by 12 · see citing works
“In particular, testing automated driving represents a real-world experimental approach of introducing technology in society, as it often takes place on public roads and interacts with existing users and infrastructure (Jackson et al., 2014; Stilgoe, 2018, 2020; Marres, 2020).”
BackgroundRisk and Responsibility in Context
Placani, A., & Broadhead, S. (2023) · Routledge eBooks · doi:10.4324/9781003276029 · Cited by 12 · see citing works
Automation in electric vehicle futures
Pink, S., Korsmeyer, H., Dahlgren, K., & Strengers, Y. (2024) · Mobilities · doi:10.1080/17450101.2024.2325385 · Cited by 12 · see citing works
“AD narratives have been powerfully critiqued by social scientists (e.g. Pink, Fors, and Gl € oss 2018; Ash 2018; Bissell 2018; Marres 2018; Stilgoe 2020).”
How AI hype impacts the LGBTQ + community
McAra-Hunter, D. (2024) · AI and Ethics · doi:10.1007/s43681-024-00423-8 · Cited by 14 · see citing works
Miranda, C., Goñi, J., & Labruto, N. (2022) · Healthcare · doi:10.3390/healthcare10020360 · Cited by 9 · see citing works
A Realist’s Account of AI for SDGs: Power, Inequality and AI in Community
Ong, L. M., & Findlay, M. J. (2023) · Philosophical studies series · doi:10.1007/978-3-031-21147-8_4 · Cited by 9 · see citing works
Thiel, S., Bernhardt, J., & Medien, B. D. B. F. K. U. (2023) · Edition Museum · doi:10.1515/9783839467107 · Cited by 27 · see citing works
LLMs beyond the lab: the ethics and epistemics of real-world AI research
Mollen, J. (2024) · Ethics and Information Technology · doi:10.1007/s10676-024-09819-w · Cited by 9 · see citing works
“These issues include the avoidance of democratic accountability by investigators (Taylor, 2021), causing physical harm (Stilgoe, 2020; Col-onna, 2023), violating human rights (Amnesty, 2020), the imposition of ‘dominating’ risk (Maheshwari & Nyholm, 2022), and the unequal ethical demands between…”
Stark, K., & Galich, A. (2020) · Sustainability · doi:10.3390/su12219253 · Cited by 8 · see citing works
Three-Dimensional LiDAR Decoder Design for Autonomous Vehicles in Smart Cities
Fan, Y., & Wang, S.-B. (2022) · Information · doi:10.3390/info13010018 · Cited by 8 · see citing works
Buttow, C. V., & Weerts, S. (2023) · Information Polity · doi:10.3233/ip-230003 · Cited by 8 · see citing works
“The current legal and political framework of data governance enabled the rise of the platform economy and data-driven markets with the winner-take-all structural logic, leading to the concentration of data and technical resources in a few giant tech companies (Pistor, 2020; Stilgoe, 2020).”
Governing with artificial intelligence: Mapping the knowledge systems shaping urban intelligence
Lartey, D., & Law, K. M. Y. (2026) · Technology in Society · doi:10.1016/j.techsoc.2026.103321 · Cited by 10 · see citing works
AdaMap: High-Scalable Real-Time Cooperative Perception at the Edge
Liu, Q., Xue, Y., Zhang, Y., et al. (2023) · ACM/IEEE Symposium on Edge Computing (SEC) · doi:10.1145/3583740.3626612 · Cited by 4 · see citing works
Lê, D., & Nguyen, L. V. (2023) · Multimedia Tools and Applications · doi:10.1007/s11042-023-14439-5 · Cited by 4 · see citing works
Technological Governance (Cybersecurity and AI): Role of Digital Governance
Bowen, G. L., Sothinathan, J., & Bowen, R. (2024) · Advanced sciences and technologies for security applications · doi:10.1007/978-3-031-52272-7_6 · Cited by 3 · see citing works
Sengupta, S., Sengupta, B., Sinaeepourfard, A., & Shaik, S. (2024) · International Conference on Blockchain Computing and Applications (BCCA) · doi:10.1109/bcca62388.2024.10844441 · Cited by 3 · see citing works
“Across these diverse industry verticals, data serves as a catalyst for innovation, disruption, and progress, empowering informed decision-making and advancing products and services [7], [8], [9], [10].”
Huppenbauer, N. (2023) · Global Media and China · doi:10.1177/20594364231198289 · Cited by 2 · see citing works
Hajri, O. (2023) · Edition Museum · doi:10.1515/9783839467107-006 · Cited by 3 · see citing works
Hirunyatrakul, P. (2025) · Sustainability · doi:10.3390/su17135792 · Cited by 4 · see citing works
From Incidents to Insights: Patterns of Responsibility following AI Harms
Richards, I., Benn, C., & Zilka, M. (2025) · ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO) · doi:10.1145/3757887.3763018 · Cited by 6 · see citing works
Who governs the ledger: rethinking blockchain governance through democratic innovation
Motea, M., & Oba, P. (2026) · Humanities and Social Sciences Communications · doi:10.1057/s41599-026-06980-z · Cited by 1 · see citing works
“(Stilgoe, 2020).”
Back to the Present of Automated Mobility
Solbu, G., Skjølsvold, T. M., & Ryghaug, M. (2023) · Science & Technology Studies · doi:10.23987/sts.122099 · Cited by 1 · see citing works
Ma, R., Alsoubai, A., Park, J., & Wiśniewski, P. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3791498 · Cited by 1 · see citing works
The Ethical Challenges of Innovation
Pesch, U. (2021) · Science and Engineering Ethics · doi:10.1007/s11948-021-00308-7
“…2021 / Accepted: 25 April 2021 / Published online: 4 May 2021 © The Author(s), under exclusive licence to Springer Nature B.V. 2021 In his recent book, Who’s Driving Innovation, Jack Stilgoe (2020) covers a variety of normative issues regarding the development of new technologies in only 72 pages.”
BackgroundWhat Futures? Reflections on the Temporal Plurality of Innovation Processes
Crespi, B., Dahm, S., Paladines, M., & Seitz, T. (2023) · Springer eBooks · doi:10.1007/978-3-658-39743-2_7
Thinking About Innovation: The Case of Autonomous Vehicles
Chiffi, D., & Zanetti, L. (2023) · Studies in applied philosophy, epistemology and rational ethics · doi:10.1007/978-3-031-39991-6_9
Foundations of the Digital Society
Bavec, C. (2025) · IGI Global eBooks · doi:10.4018/979-8-3373-3685-5.ch001
Miklian, J., Hoelscher, K., & Katsos, J. E. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6210099
The travelling vision and the wave of Big Neurosciences: What circulates when there is no model?
Kim, J. (2022) · Revue internationale de politique comparée · doi:10.3917/e.ripc.291.0151
Governing Interdependence: An Adaptive Approach to Science and Technology Diplomacy
Fuentes, M., & Lawler, D. (2026) · Global Policy · doi:10.1111/1758-5899.70166
Miklian, J., Hoelscher, K., & Katsos, J. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6644227
Motea, M., & Oba, P. (2026) · SN Social Sciences · doi:10.1007/s43545-026-01642-y
“RI emphasises anticipation, reflexivity, inclusion, and responsiveness as guiding dimensions for ethical innovation (Stilgoe 2020; Stilgoe et al. 2013 ).”
Martínez‐Buelvas, L., Rakotonirainy, A., Grant‐Smith, D., & Oviedo-Trespalacios, Ó. (2026) · AI & Society · doi:10.1007/s00146-026-03289-y
Digital Agricultural Ecosystems: Scientific Landscape and Competency Perspectives
PIEROZZI, I., Oliveira, S. R. D. M., Souza, M. I. F., Torres, T. Z., & Cunha, L. M. S. (2026) · Springer eBooks · doi:10.1007/978-3-032-24552-6_13
- Authors
- Stilgoe, J.
- Affiliations
- University College London (GB)
- Corresponding author
- Stilgoe, Jack
- ORCID
- Stilgoe, Jack
- Venue
- Springer eBooks
- Publisher
- Springer International Publishing
- Published
- 2020
- OpenAlex
- W4232923432
- Cited by
- 80
- References
- 0
- Citations by year
- 2026: 13 · 2025: 3 · 2024: 10 · 2023: 20 · 2022: 12 · 2021: 12 · 2020: 10
- FWCI
- 19.40
- Type
- book
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Springer eBooks (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Economic and Social Research Council (ES/S001832/1)
- Topics
- Social Sciences › Law › Digitalization, Law, and Regulation
- Physical Sciences › Engineering › Automotive Engineering › Autonomous Vehicle Technology and Safety
- Social Sciences › Sociology and Political Science › Innovation, Technology, and Society
- Keywords
- autonomous vehicles, technological change, democracy, public-private collaboration, innovation, technology governance, societal impact of technology
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review