What does this research mean for the field?

Due to reputational concerns, police organizations adopt risk-averse decision-making that prioritizes alleviating public fears over adequately preparing for the criminal use of AI technologies. Novelty: ClaimNovelty.INCREMENTAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To evaluate how Canadian police leaders assess organizational risks and prepare for emerging threats stemming from the malicious use of artificial intelligence.

August 22, 2026Policing & SocietyOpen Access

Losing sight of the threat: police, risk, and artificial intelligence

View Full Paper

Ask AI

Bookmark

Authors

CHCole Heffren LFLorna Ferguson LHLaura Huey

Discussion

Member takes

Overview

Qualitative interview study reveals risk-averse decision-making impairs threat preparedness among Canadian police, highlighting vulnerabilities to criminal artificial intelligence.

Key Points

To evaluate how Canadian police leaders assess organizational risks and prepare for emerging threats stemming from the malicious use of artificial intelligence.
Conducted in-depth qualitative interviews with Canadian police personnel (n = 41; sworn and civilian) involved in organizational AI decision-making.
Analyzed interview transcripts using thematic analysis within the framework of Social Construction of Technology (SCOT) theory.
Police personnel demonstrated risk-averse decision-making regarding AI implementation due to pre-existing organizational reputational concerns.
Organizational focus was primarily directed toward mitigating public concerns, which detracted from strategic planning and preparation for criminal AI threats like deepfakes, phishing, and malware.

Cite This Study

Heffren et al. (2026) studied this question.

synapsesocial.com/papers/6a895f53ca7ade938187dde1 https://doi.org/10.1080/10439463.2026.2716885

View Full Paper

Ask AI

Bookmark

August 22, 2026Policing & SocietyOpen Access

Losing sight of the threat: police, risk, and artificial intelligence

View Full Paper

Ask AI

Bookmark

Authors

CHCole Heffren LFLorna Ferguson LHLaura Huey

Discussion

Member takes

Overview

Qualitative interview study reveals risk-averse decision-making impairs threat preparedness among Canadian police, highlighting vulnerabilities to criminal artificial intelligence.

Key Points

To evaluate how Canadian police leaders assess organizational risks and prepare for emerging threats stemming from the malicious use of artificial intelligence.
Conducted in-depth qualitative interviews with Canadian police personnel (n = 41; sworn and civilian) involved in organizational AI decision-making.
Analyzed interview transcripts using thematic analysis within the framework of Social Construction of Technology (SCOT) theory.
Police personnel demonstrated risk-averse decision-making regarding AI implementation due to pre-existing organizational reputational concerns.
Organizational focus was primarily directed toward mitigating public concerns, which detracted from strategic planning and preparation for criminal AI threats like deepfakes, phishing, and malware.

Cite This Study

Heffren et al. (2026) studied this question.

synapsesocial.com/papers/6a895f53ca7ade938187dde1 https://doi.org/10.1080/10439463.2026.2716885

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

View Full Paper

Ask AI

Bookmark