AI-enabled future crime

Caldwell, Melissa L.; Andrews, Jerone T. A.; Tanay, T.; Griffin, Lewis D.

doi:10.1186/s40163-020-00123-8

Cited by 84 publications

(46 citation statements)

References 18 publications

(16 reference statements)

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“…The self-improvement capabilities of machine learning and artificial intelligence as new data becomes available is an advantage that assists in early case detection and tracking. However, there is potential for harm and threats arising from the increasing adoption and power [73]. It was recommended by these authors for information literacy and community building in deep learning as tools for getting ahead of deep fakes.…”

Section: Digital Mental Health Solutionsmentioning

confidence: 99%

“…It was recommended by these authors for information literacy and community building in deep learning as tools for getting ahead of deep fakes. To give contexts to the risks, Caldwell et al [73] referred to useful systematic reviews [74], overview of strategic policy in the next 5 years [75], and the cybersecurity risks associated with the interconnectedness of everyday devices (IoT) [76]. A user-friendly description of the technological background of artificial intelligence was presented to instill an understanding of the associated criminal potential and with the intention of reducing potential harm from it [73].…”

Section: Digital Mental Health Solutionsmentioning

confidence: 99%

“…To give contexts to the risks, Caldwell et al [73] referred to useful systematic reviews [74], overview of strategic policy in the next 5 years [75], and the cybersecurity risks associated with the interconnectedness of everyday devices (IoT) [76]. A user-friendly description of the technological background of artificial intelligence was presented to instill an understanding of the associated criminal potential and with the intention of reducing potential harm from it [73]. To understand the issue of deep fakes, these authors defined artificial intelligence, machine learning, supervised and unsupervised learning, training data, deep learning, reinforcement learning, active learning, natural language processing, adversarial perturbation, and criminal potential.…”

Section: Digital Mental Health Solutionsmentioning

confidence: 99%

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Psychological Screening and Tracking of Athletes and Digital Mental Health Solutions in a Hybrid Model of Care: Mini Review

Balcombe¹,

Leo²

2020

JMIR Form Res

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Background There is a persistent need for mental ill-health prevention and intervention among at-risk and vulnerable subpopulations. Major disruptions to life, such as the COVID-19 pandemic, present an opportunity for a better understanding of the experience of stressors and vulnerability. Faster and better ways of psychological screening and tracking are more generally required in response to the increased demand upon mental health care services. The argument that mental and physical health should be considered together as part of a biopsychosocial approach is garnering acceptance in elite athlete literature. However, the sporting population are unique in that there is an existing stigma of mental health, an underrecognition of mental ill-health, and engagement difficulties that have hindered research, prevention, and intervention efforts. Objective The aims of this paper are to summarize and evaluate the literature on athletes’ increased vulnerability to mental ill-health and digital mental health solutions as a complement to prevention and intervention, and to show relationships between athlete mental health problems and resilience as well as digital mental health screening and tracking, and faster and better treatment algorithms. Methods This mini review shapes literature in the fields of athlete mental health and digital mental health by summarizing and evaluating journal and review articles drawn from PubMed Central and the Directory of Open Access Journals. Results Consensus statements and systematic reviews indicated that elite athletes have comparable rates of mental ill-health prevalence to the general population. However, peculiar subgroups require disentangling. Innovative expansion of data collection and analytics is required to respond to engagement issues and advance research and treatment programs in the process. Digital platforms, machine learning, deep learning, and artificial intelligence are useful for mental health screening and tracking in various subpopulations. It is necessary to determine appropriate conditions for algorithms for use in recommendations. Partnered with real-time automation and machine learning models, valid and reliable behavior sensing, digital mental health screening, and tracking tools have the potential to drive a consolidated, measurable, and balanced risk assessment and management strategy for the prevention and intervention of the sequelae of mental ill-health. Conclusions Athletes are an at-risk subpopulation for mental health problems. However, a subgroup of high-level athletes displayed a resilience that helped them to positively adjust after a period of overwhelming stress. Further consideration of stress and adjustments in brief screening tools is recommended to validate this finding. There is an unrealized potential for broadening the scope of mental health, especially symptom and disorder interpretation. Digital platforms for psychological screening and tracking have been widely used among general populations, but there is yet to be an eminent athlete version. Sports in combination with mental health education should address the barriers to help-seeking by increasing awareness, from mental ill-health to positive functioning. A hybrid model of care is recommended, combining traditional face-to-face approaches along with innovative and evaluated digital technologies, that may be used in prevention and early intervention strategies.

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Section: Digital Mental Health Solutionsmentioning

confidence: 99%

Section: Digital Mental Health Solutionsmentioning

confidence: 99%

Section: Digital Mental Health Solutionsmentioning

confidence: 99%

See 1 more Smart Citation

Psychological Screening and Tracking of Athletes and Digital Mental Health Solutions in a Hybrid Model of Care: Mini Review

Balcombe¹,

Leo²

2020

JMIR Form Res

View full text Add to dashboard Cite

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“…For example, changes to technology—to include rapid advances in artificial intelligence (e.g. Caldwell et al 2020 ), internet connectivity (e.g. Blythe and Johnson 2020 ) and biotechnology (Elgabry et al 2020 )—, society (e.g.…”

Section: Discussionmentioning

confidence: 99%

“Show this thread”: policing, disruption and mobilisation through Twitter. An analysis of UK law enforcement tweeting practices during the Covid-19 pandemic

2020

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Crisis and disruption are often unpredictable and can create opportunities for crime. During such times, policing may also need to meet additional challenges to handle the disruption. The use of social media by officials can be essential for crisis mitigation and crime reduction. In this paper, we study the use of Twitter for crime mitigation and reduction by UK police (and associated) agencies in the early stages of the Covid-19 pandemic. Our findings suggest that whilst most of the tweets from our sample concerned issues that were not specifically about crime, especially during the first stages of the pandemic, there was a significant increase in tweets about fraud, cybercrime and domestic abuse. There was also an increase in retweeting activity as opposed to the creation of original messages. Moreover, in terms of the impact of tweets, as measured by the rate at which they are retweeted, followers were more likely to ‘spread the word’ when the tweet was content-rich (discussed a crime specific matter and contained media), and account holders were themselves more active on Twitter. Considering the changing world we live in, criminal opportunity is likely to evolve. To help mitigate this, policy makers and researchers should consider more systematic approaches to developing social media communication strategies for the purpose of crime mitigation and reduction during disruption and change more generally. We suggest a framework for so doing.

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“…Reuters. Available at: https://www.reuters.com/ article/us-amazon-com-jobs-automation-insight/amazon-scraps-secret-ai-recruiting-tool-that-showed-bias-againstwomen-idUSKCN1MK08G (accessed 19.11.2020 [Caldwell, Andrews, Tanay, 2020;Kamps, Kleinberg, 2018;Van Der Wagen, Pieters, 2015;Wilner, 2018].…”

Section: современныеmentioning

confidence: 99%

Religious and Ethical Issues of Artificial Intelligence: Expert Assessments and the Vatican Position

Абрамов¹

2020

Concept: philosophy, religion, culture

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The paper is dedicated to the emergence of progressive artificial intelligence technologies and its relations to the human nature and soul, as viewed by experts and in such specific community as the church. We seem now to be entering a new phase of the comprehension of the moral aspects of the introduction of artificial intelligence (AI) into the life of different societies. The romantic period of high expectations and excessive anxiety is replaced by the growing understanding of the complexity of the man‒machine interaction, which implies the intersection moral, legal, political and utilitarian dimensions of both a person and an artifact. The problematic issues are now more obvious, clear and difficult, as the disciplinary boundaries are revealed and highlighted. Among the crucial issues one should mention deficiencies in definitions; weakness of research optics and the vision that would be friendly to other areas of study or practice. This also includes the issues of integral assessment of the existing dangers, difficulties in describing the mechanisms of fulfilling both ethical and technically viable requirements. As scientific knowledge accumulates, both the benefits of introducing AI technologies into everyday life and previously underestimated new threats become more obvious. These societal and humanitarian ones include, in particular, social turbulence, neuroticism, digital crimes and crimes associated freedom abuses and losses of identity. Over the past few years, state and non-governmental institutions have proposed different approaches to determining what is included in the moral core of the problem under consideration. The efforts of many, if not most, of them turn out to be compromised by suspicions in willful intents. In this context, the broad consensus with the key agent facilitators is required, and the role such actors play in providing social stability is indisputable. One of the key roles in offering society the broadest vision on the anthropocentric development and AI progress belongs to the Roman Catholic Church. The Vatican’s quest to unite philosophers, AI developers, and religious leaders to address the ethical challenges of designing and implementing robotics is becoming an important element of the Christian witness in a world that is consider ed irrevocably secularized by many.

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AI-enabled future crime

Cited by 84 publications

References 18 publications

Psychological Screening and Tracking of Athletes and Digital Mental Health Solutions in a Hybrid Model of Care: Mini Review

Psychological Screening and Tracking of Athletes and Digital Mental Health Solutions in a Hybrid Model of Care: Mini Review

“Show this thread”: policing, disruption and mobilisation through Twitter. An analysis of UK law enforcement tweeting practices during the Covid-19 pandemic

Religious and Ethical Issues of Artificial Intelligence: Expert Assessments and the Vatican Position

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