“Ethically contentious aspects of artificial intelligence surveillance: a social science perspective”

Saheb, Tahereh

doi:10.1007/s43681-022-00196-y

Cited by 11 publications

(5 citation statements)

References 66 publications

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“…This highlights how complex surveillance environments blur traditional boundaries and expand surveillance beyond limited areas ( McCahill, 2002 ). As viewed by Saheb (2023) , AI applications in particular can have unforeseen or even malignant consequences making their implementation more hazardous, especially due to concerns for the privacy and integrity of citizens. Meanwhile, the public acceptance of surveillance technology relies on trust, privacy and technological understanding ( Fontes et al, 2022 ).…”

Section: Discussionmentioning

confidence: 99%

Exploring the surveillance technology discourse: a bibliometric analysis and topic modeling approach

Karlsson,

Dalipi

2024

Front. Artif. Intell.

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The prevention of crime is a multifaceted challenge with legal, political, and cultural implications. Surveillance technologies play a crucial role in assisting law enforcement and other relevant parties in this mission. Drones, cameras, and wiretaps are examples of such devices. As their use increases, it becomes essential to address related challenges involving various stakeholders and consider cultural, political, and legal aspects. The objective of this study was to analyze the impact of surveillance technologies and identify commonalities and differences in perspectives among social media users and researchers. Data extraction was performed from two platforms: Scopus (for academic research papers) and platform X (formerly known as Twitter). The dataset included 88,989 tweets and 4,874 research papers. Topic modeling, an unsupervised machine learning approach, was applied to analyze the content. The research results revealed that privacy received little attention across the datasets, indicating its relatively low prominence. The military applications and their usage have been documented in academic research articles as well as tweets. Based on the empirical evidence, it seems that contemporary surveillance technology may be accurately described as possessing a bi-directional nature, including both sousveillance and surveillance, which aligns with Deleuzian ideas on the Panopticon. The study’s findings also indicate that there was a greater level of interest in actual applications of surveillance technologies as opposed to more abstract concepts like ethics and privacy.

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Section: Discussionmentioning

confidence: 99%

Exploring the surveillance technology discourse: a bibliometric analysis and topic modeling approach

Karlsson,

Dalipi

2024

Front. Artif. Intell.

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“…This internal conflict can lead to anxiety, as individuals may be torn between concerns for public safety and the protection of personal privacy or civil liberties. Moral dilemmas can contribute to unease and ethical anxiety [ 34 ].…”

Section: Reviewmentioning

confidence: 99%

Exploring the Impact of Security Technologies on Mental Health: A Comprehensive Review

Malik,

Acharya,

Humane

2024

Cureus

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This comprehensive review explores the intricate relationship between security technologies and mental health. Security technologies, including physical security, cybersecurity, and surveillance measures, are integral components of our modern world, designed to protect individuals, organizations, and society from various threats. While they are vital in enhancing safety, they also have profound implications for mental well-being. The review delves into the positive impacts of security technologies, including their capacity to enhance personal safety, reduce anxiety and fear, and instill a sense of security. However, it also reveals the negative consequences, such as privacy invasion, surveillance-related stress, paranoia, and ethical concerns, which can erode mental health. User perception and trust are central to understanding how individuals experience security technologies. The review emphasizes the importance of ethical guidelines, user education, and technological advancements in mitigating negative impacts. By embracing an ethical-by-design approach, empowering users, and promoting public awareness, a balanced equilibrium between security and mental health can be achieved. The conclusion highlights the significance of ongoing research and interdisciplinary collaboration to navigate this intricate relationship effectively. By prioritizing ethical considerations and fostering a dialogue that values security and individual well-being, we can ensure a safer and more mentally healthy future in our technologically interconnected world.

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“…The potential for invasion of privacy, ethical misuse of data, and the propagation of biases are issues that must be rigorously addressed. Ensuring transparency in how ML models are developed, deployed, and used is essential for maintaining public trust and ethical integrity [12].…”

Section: Challenges and Limitationsmentioning

confidence: 99%

Machine Learning - Method or Solution?

Tymoteusz

2023

Scientific Practice: Modern and Classical Research Methods

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This article explores the dualistic nature of machine learning (ML) in scientific research, dissecting its role as both a methodological tool and a direct solution to complex problems. It begins by defining ML and its foundational principles, algorithms, and statistical models. The versatility of ML is highlighted through its applications across various disciplines, such as biology, astrophysics, healthcare, environmental science, and business. The article then delves into the challenges and limitations of ML, including data quality issues, ethical concerns, and the risk of over-reliance on automated decisions. It advocates for the integration of ML with classical research methods to ensure robust and ethical scientific practice. Concluding with future perspectives, the article speculates on the evolving role of ML in advancing both methodology and problem-solving in diverse fields, emphasizing the importance of responsible and effective utilization of ML in scientific research.

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“Ethically contentious aspects of artificial intelligence surveillance: a social science perspective”

Cited by 11 publications

References 66 publications

Exploring the surveillance technology discourse: a bibliometric analysis and topic modeling approach

Exploring the surveillance technology discourse: a bibliometric analysis and topic modeling approach

Exploring the Impact of Security Technologies on Mental Health: A Comprehensive Review

Machine Learning - Method or Solution?

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