Ethics as an enabler and a constraint – Narratives on technology development and artificial intelligence in military affairs through the case of Project Maven

Malmio, Irja

doi:10.1016/j.techsoc.2022.102193

Cited by 13 publications

(4 citation statements)

References 22 publications

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“…Access to data, algorithms and geo-information technologies Benson et al [27], Maciej [28], Sheikh et al [29], Stahl & Eke [30], Farhi et al [31] Memarian & Doleck [32] Carlsson & Ronnblom [33], Malmio [34], Delacroix and Wagner [35], Aitken et al [36], Raab [37],…”

Section: Author/publicationmentioning

confidence: 99%

“…Bingley et al [38], Francisco & Linner [39], Robinson [40], Kannelonning [41], and Vetter et al [42] Accountability for decisions and impacts of AI and geo-information technologies Maciej [28], Saastamoinen et al [43], Stahl & Eke [30], Farhi et al [31] Awad et al [44], Memarian & Doleck [32] Carlsson & Ronnblom [33], Malmio [34], Delacroix and Wagner [35], Aitken et al [36], Raab [37], Bingley et al [38], Robinson [40], and Vetter et al [42] Autonomy of individuals and groups to make decisions for themselves should not be taken away by AI and geo-information technologies [32] Malmio [34], Delacroix and Wagner [35], Bingley et al [38], and Robinson [40] Beneficence or improving the wellbeing of individuals and groups by using AI and geo-information…”

Section: Author/publicationmentioning

confidence: 99%

“…Stahl & Eke [30], Memarian & Doleck [32] Raab [37], and Bingley et al [38] Bias within data, algorithms and decision-making of AI and geo-information technologies Maciej [28], Saastamoinen et al [43], Stahl & Eke [30], Farhi et al [31] Awad et al [44], Memarian & Doleck [32] Carlsson & Ronnblom [33], Malmio [34], Delacroix and Wagner [35], Aitken et al [36], Raab [37], Bingley et al [38], Francisco & Linner [39], Robinson [40], Kannelonning [41], and Vetter et al [42] Consent given (or revoked) by individuals or groups during data collection, retention and distribution Francisco & Linner [39], Robinson [40], and Vetter et al [42] Dignity of individuals and groups should be respected and not reduced by AI and geo-information technologies Stahl & Eke [30], Delacroix and Wagner [35], and Raab [37] [33], Raab [37],…”

Section: Author/publicationmentioning

confidence: 99%

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Crossing Boundaries: The Ethics of AI and Geographic Information Technologies

Oluoch

2024

IJGI

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Over the past two decades, there has been increasing research on the use of artificial intelligence (AI) and geographic information technologies for monitoring and mapping varying phenomena on the Earth’s surface. At the same time, there has been growing attention given to the ethical challenges that these technologies present (both individually and collectively in fields such as critical cartography, ethics of AI and GeoAI). This attention has produced a growing number of critical commentaries and articles as well as guidelines (by academic, governmental, and private institutions) that have been drafted to raise these ethical challenges and suggest potential solutions. This paper presents a review of 16 ethical guidelines of AI and 8 guidelines of geographic information technologies, analysing how these guidelines define and employ a number of ethical values and principles (e.g., autonomy, bias, privacy, and consent)One of the key findings from this review is the asymmetrical mentioning of certain values and principles within the guidelines. The AI guidelines make very clear the potential of AI to negatively impact social and environmental justice, autonomy, fairness and dignity, while far less attention is given to these impacts in the geographic information guidelines. This points to a need for the geo-information guidelines to be more attentive to the role geographic information can play in disempowering individuals and groups.

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Section: Author/publicationmentioning

confidence: 99%

Section: Author/publicationmentioning

confidence: 99%

Section: Author/publicationmentioning

confidence: 99%

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Crossing Boundaries: The Ethics of AI and Geographic Information Technologies

Oluoch

2024

IJGI

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“…Case studies showcasing USA-specific implementations of AI in cybersecurity highlight how advanced technologies are applied to protect critical infrastructure. Some examples that demonstrate the integration of AI in safeguarding national security include Department of Defense's Project Maven (Malmio, 2023, Downey, 2023. Project Maven objective was initiated by the Department of Defense, focuses on leveraging AI and machine learning to analyze massive amounts of data collected by drones (Suchman, 2023).…”

Section: Case Studies: Usa-specific Implementationsmentioning

confidence: 99%

Artificial intelligence in cybersecurity: Protecting national infrastructure: A USA review

Adebunmi Okechukwu Adewusi,

Ugochukwu Ikechukwu Okoli,

Temidayo Olorunsogo

et al. 2024

World J. Adv. Res. Rev.

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Artificial Intelligence (AI) has emerged as a transformative force in the field of cybersecurity, playing a pivotal role in safeguarding national infrastructure. This review focuses on the application of AI technologies within the context of the United States, examining their efficacy in fortifying critical systems against evolving cyber threats. The paper delves into various AI-driven cybersecurity strategies, ranging from anomaly detection and predictive analysis to threat intelligence and automated response mechanisms. The integration of AI in cybersecurity not only enhances the speed and accuracy of threat detection but also addresses the dynamic nature of cyber threats. The specific AI technologies employed in the United States, including machine learning, natural language processing, and neural networks, highlighting their contributions to bolstering the resilience of national infrastructure are also examined. Furthermore, the challenges and ethical considerations associated with the widespread adoption of AI in cybersecurity are assessed. It discusses the need for robust regulatory frameworks to govern the deployment of AI in sensitive domains and emphasizes the importance of collaboration between government agencies, private enterprises, and research institutions to foster innovation and address emerging threats. In conclusion, this review provides a comprehensive analysis of the role of AI in cybersecurity within the United States, emphasizing its significance in protecting critical national infrastructure. By exploring technological advancements, challenges, and ethical considerations, this paper contributes to the ongoing discourse on leveraging AI to safeguard against the ever-evolving landscape of cyber threats.

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Misinformation and Algorithmic Bias

Shin

2024

Artificial Misinformation

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Ethics as an enabler and a constraint – Narratives on technology development and artificial intelligence in military affairs through the case of Project Maven

Cited by 13 publications

References 22 publications

Crossing Boundaries: The Ethics of AI and Geographic Information Technologies

Crossing Boundaries: The Ethics of AI and Geographic Information Technologies

Artificial intelligence in cybersecurity: Protecting national infrastructure: A USA review

Misinformation and Algorithmic Bias

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