Trusting artificial intelligence in cybersecurity is a double-edged sword

Taddeo, Mariarosaria; McCutcheon, Tom; Floridi, Luciano

doi:10.1038/s42256-019-0109-1

Cited by 105 publications

(59 citation statements)

References 13 publications

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“…Especially during the pandemic, a large part of Australian society was intending to move towards digital transformation. Due to the cyber-attack boom in 2020 in Australia, the discussions on cybersecurity and the ethical concerns associated with using AI technologies become highly prominent [62,63]. Australian researchers have also highlighted the importance of understanding the loopholes in the present AI systems [64].…”

Section: Discussionmentioning

confidence: 99%

Artificial Intelligence Technologies and Related Urban Planning and Development Concepts: How Are They Perceived and Utilized in Australia?

Yiğitcanlar¹,

Kankanamge

Regona

et al. 2020

Journal of Open Innovation: Technology, Market, and Complexity

104

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Artificial intelligence (AI) is a powerful technology with an increasing popularity and applications in areas ranging from marketing to banking and finance, from agriculture to healthcare and security, from space exploration to robotics and transport, and from chatbots to artificial creativity and manufacturing. Although many of these areas closely relate to the urban context, there is limited understanding of the trending AI technologies and their application areas—or concepts—in the urban planning and development fields. Similarly, there is a knowledge gap in how the public perceives AI technologies, their application areas, and the AI-related policies and practices of our cities. This study aims to advance our understanding of the relationship between the key AI technologies (n = 15) and their key application areas (n = 16) in urban planning and development. To this end, this study examines public perceptions of how AI technologies and their application areas in urban planning and development are perceived and utilized in the testbed case study of Australian states and territories. The methodological approach of this study employs the social media analytics method, and conducts sentiment and content analyses of location-based Twitter messages (n = 11,236) from Australia. The results disclose that: (a) digital transformation, innovation, and sustainability are the most popular AI application areas in urban planning and development; (b) drones, automation, robotics, and big data are the most popular AI technologies utilized in urban planning and development, and; (c) achieving the digital transformation and sustainability of cities through the use of AI technologies—such as big data, automation and robotics—is the central community discussion topic.

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Section: Discussionmentioning

confidence: 99%

Artificial Intelligence Technologies and Related Urban Planning and Development Concepts: How Are They Perceived and Utilized in Australia?

Yiğitcanlar¹,

Kankanamge

Regona

et al. 2020

Journal of Open Innovation: Technology, Market, and Complexity

104

View full text Add to dashboard Cite

show abstract

“…A connected city can emerge as a hacker's playground, as already seen via the "Krack attack" on Wi-Fi, a series of hacks on Amazon's Ring home security camera, CCTV camera hacks, and the list goes on [113]. While the use of AI to protect our cyberspace has a substantial scope for improvement, more integration could mean more vulnerability due to lack of technical capabilities, lack of understanding, lack of prioritizing cybersecurity, budget constraints, technological dependencies on other countries, the territorial reach of laws and regulations, lack of trust and transparency-all of which require continuous synchronized adaptation, based on circumstantial requirements [114]. Schneier portrays "a digital nightmare of hyper-connectivity" due to cyber vulnerability and the ways that policies can be designed to tackle them [115].…”

Section: Discussionmentioning

confidence: 99%

Enhancing City Sustainability through Smart Technologies: A Framework for Automatic Pre-Emptive Action to Promote Safety and Security Using Lighting and ICT-Based Surveillance

2020

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The scope of the present paper is to promote social, cultural and environmental sustainability in cities by establishing a conceptual framework and the relationship amongst safety in urban public space (UPS), lighting and Information and Communication Technology (ICT)-based surveillance. This framework uses available technologies and tools, as these can be found in urban equipment such as lighting posts, to enhance security and safety in UPS, ensuring protection against attempted criminal activity. Through detailed literary research, publications on security and safety concerning crime and lighting can be divided into two periods, the first one pre-1994, and the second one from 2004–2008. Since then, a significant reduction in the number of publications dealing with lighting and crime is observed, while at the same time, the urban nightscape has been reshaped with the immersion of light-emitting diode (LED) technologies. Especially in the last decade, where most municipalities in the EU28 (European Union of all the member states from the accession of Croatia in 2013 to the withdrawal of the United Kingdom in 2020) are refurbishing their road lighting with LED technology and the consideration of smart networks and surveillance is under development, the use of lighting to deter possible attempted felonies in UPS is not addressed. To capitalize on the potential of lighting as a deterrent, this paper proposes a framework that uses existing technology, namely, dimmable LED light sources, presence sensors, security cameras, as well as emerging techniques such as artificial intelligence (AI)-enabled image recognition algorithms and big data analytics and presents a possible system that could be developed as a stand-alone product to alert possible dangerous situations, deter criminal activity and promote the perception of safety thus linking lighting and ICT-based surveillance towards safety and security in UPS.

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“…Adversarial training between AI systems can help to improve their robustness as well as facilitate the identification of vulnerabilities of the system. The more we adopt an "adversarial" and "always-on" strategy, the safer the AI applications become [16].  Parallel and dynamic monitoring: The learning abilities of the targeted systems require some form of constant monitoring during deployment.…”

Section: Applications Of Ai In Cybersecuritymentioning

confidence: 99%

“…Monitoring is necessary to ensure that divergence between the expected and actual behavior of a system is captured and addressed adequately. To do so, providers of AI systems should maintain a clone system as a control system, which serves as the benchmark against which the behavior of the original system is assessed [16].…”

Section: Applications Of Ai In Cybersecuritymentioning

confidence: 99%

Artificial Intelligence in Cyber Security

Sadiku¹,

Fagbohungbe²,

Musa³

2020

IJERAT

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Cybersecurity is the process of protecting computer networks from cyber attacks or unintended unauthorized access. It is the need of the hour. Organizations, businesses, and governments need cybersecurity solutions because cyber criminals pose a threat to everyone. Artificial intelligence promises to be a great solution for this. By combining the strength of artificial intelligence with cybersecurity, security experts are more capable to defend vulnerable networks and data from cyber attackers. This paper provides an introduction to the use of artificial intelligence in cybersecurity.

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Trusting artificial intelligence in cybersecurity is a double-edged sword

Cited by 105 publications

References 13 publications

Artificial Intelligence Technologies and Related Urban Planning and Development Concepts: How Are They Perceived and Utilized in Australia?

Artificial Intelligence Technologies and Related Urban Planning and Development Concepts: How Are They Perceived and Utilized in Australia?

Enhancing City Sustainability through Smart Technologies: A Framework for Automatic Pre-Emptive Action to Promote Safety and Security Using Lighting and ICT-Based Surveillance

Artificial Intelligence in Cyber Security

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