The Risks of Artificial Intelligence to Security and the Future of Work

Osoba, Osonde A.; Welser, William

doi:10.7249/pe237

Cited by 33 publications

(18 citation statements)

References 21 publications

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“…These actions were clustered into five major groupings: Government and governance; business and labor; science and technology; education and learning; and culture, arts, and media [77]. Other scenario-based studies have yielded similar results, generating action and policy recommendations for specific OSH topics, industry sectors, and geographic regions [19,[81][82][83]. Though the publication of follow-on impact studies is rare, the available evidence suggests future of work scenarios and recommendations generated by the application of strategic foresight can be used to inform the development of government initiatives; increase subject matter knowledge among stakeholders and the general public; enhance professional education, training, and development offerings; and expand foresight awareness and capacity [82].…”

Section: Using Scenarios To Protect and Promote Worker Safety Health And Well-beingmentioning

confidence: 99%

Leveraging Strategic Foresight to Advance Worker Safety, Health, and Well-Being

Streit

Felknor

Edwards

et al. 2021

IJERPH

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Attending to the ever-expanding list of factors impacting work, the workplace, and the workforce will require innovative methods and approaches for occupational safety and health (OSH) research and practice. This paper explores strategic foresight as a tool that can enhance OSH capacity to anticipate, and even shape, the future as it pertains to work. Equal parts science and art, strategic foresight includes the development and analysis of plausible alternative futures as inputs to strategic plans and actions. Here, we review several published foresight approaches and examples of work-related futures scenarios. We also present a working foresight framework tailored for OSH and offer recommendations for next steps to incorporate strategic foresight into research and practice in order to advance worker safety, health, and well-being.

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Section: Using Scenarios To Protect and Promote Worker Safety Health And Well-beingmentioning

confidence: 99%

Leveraging Strategic Foresight to Advance Worker Safety, Health, and Well-Being

Streit

Felknor

Edwards

et al. 2021

IJERPH

View full text Add to dashboard Cite

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“…Actualmente la convergencia tecnológica establece el nuevo marco de acción, donde la tecnología de información y las comunicaciones, unida a los retos propios de los negocios, configura propuestas alternativas que generan cambios disruptivos en la sociedad (Sousa & Rocha, 2018). En particular, las nuevas aplicaciones y usos de la inteligencia artificial, o lo que se ha denominado computación cognitiva (Deloitte, 2018), aumentan la capacidad de las organizaciones en cuanto a la toma de decisiones en entornos complejos, inestables y ambiguos (Bughin et ál., 2017;Osoba & Welser, 2017a, 2017b.…”

Section: Referenciasunclassified

Robo-Advisors: Autorregulador del Mercado de Valores de Colombia

Useche¹,

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2019

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Asesoría automatizada en el mercado de valores. Bogotá, 2019 35p.-Incluye referencias bibliográficas. Finanzas / Comunicación digital / Tecnologías de la información-finanzas / Finanzas-aspectos jurídicos / Asesores de inversiones-inteligencia artificial / I. Universidad del Rosario / II. Título / III. Serie 332.67 SCDD 20 Catalogación en la fuente-Universidad del Rosario. CRAI LAC / enero 31 de 2019

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“…Like toxic drugs, AI models may produce harmful results if algorithms are biased or based on incorrect information. 35 , 36 Even with valid model outputs, design of AI solutions can lead to misperception or misunderstanding by users. The extent to which the AI models are understood by users can be a checkpoint for potential harm.…”

Section: Introductionmentioning

confidence: 99%

Evaluating artificial intelligence in medicine: phases of clinical research

et al. 2020

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Increased scrutiny of artificial intelligence (AI) applications in healthcare highlights the need for real-world evaluations for effectiveness and unintended consequences. The complexity of healthcare, compounded by the user- and context-dependent nature of AI applications, calls for a multifaceted approach beyond traditional in silico evaluation of AI. We propose an interdisciplinary, phased research framework for evaluation of AI implementations in healthcare. We draw analogies to and highlight differences from the clinical trial phases for drugs and medical devices, and we present study design and methodological guidance for each stage.

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The Risks of Artificial Intelligence to Security and the Future of Work

Cited by 33 publications

References 21 publications

Leveraging Strategic Foresight to Advance Worker Safety, Health, and Well-Being

Leveraging Strategic Foresight to Advance Worker Safety, Health, and Well-Being

Robo-Advisors: Autorregulador del Mercado de Valores de Colombia

Evaluating artificial intelligence in medicine: phases of clinical research

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