Resume Format, LinkedIn URLs and Other Unexpected Influences on AI Personality Prediction in Hiring: Results of an Audit

Rhea, Alene K.; Markey, Kelsey; D’Arinzo, Lauren; Hilke, Schellmann,; Sloane, Mona; Squires, Paul C.; Stoyanovich, Julia

doi:10.1145/3514094.3534189

Cited by 8 publications

(1 citation statement)

References 32 publications

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“…That is: information systems are generally inappropriate, and are likely to remain inappropriate, for tasks in which human involvement is needed for some reason other than information processing, generation, or dissemination. We can consider four categories of these tasks: human judgment (e.g., business management [161], some new and 'edge' cases in content moderation), human responsibility (e.g., criminal sentencing, policy making), human relationality (e.g., social movements, service work, emotional and affiliational work, many elements of psychotherapy), and embodied social activities (e.g., music performance, sports). Nonetheless it seems likely that the technology industry will continue to develop systems intended to play roles in these activities.…”

Section: 34mentioning

confidence: 99%

Information systems practice for the age of consequences

Silberman

Ninth Computing Within Limits 2023

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This paper builds on the author's 2015 paper 'Information systems for the age of consequences.' This paper reviews practical, policy, and research developments in the period 2015-2023. Building on the view that bottlenecks in addressing environmental problems are more 'institutional' than 'technical, ' but that technology development can be understood as 'politics by other means, ' the paper makes two main contributions to LIMITS. First, it offers a set of propositions about technology and institutions, from literatures including organizational psychology and software engineering, to help orient 'limits-aware' information technology practice. Second, it offers six pieces of advice. The paper is geared especially to students who will pursue technology careers outside academia.CCS Concepts: • Social and professional topics → Sustainability; • Human-centered computing → Collaborative and social computing theory, concepts and paradigms.

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Section: 34mentioning

confidence: 99%

Information systems practice for the age of consequences

Silberman

Ninth Computing Within Limits 2023

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Making It Possible for the Auditing of AI: A Systematic Review of AI Audits and AI Auditability

Li,

Goel

2024

Inf Syst Front

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Responsible artificial intelligence in human resources management: a review of the empirical literature

et al. 2023

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As it is the case for many business processes and activities disciplines, artificial intelligence (AI) is increasingly integrated in human resources management (HRM). While AI has great potential to augment the HRM activities in organizations, automating the management of humans is not without risks and limitations. The identification of these risks is fundamental to promote responsible use of AI in HRM. We thus conducted a review of the empirical academic literature across disciplines on the affordances and responsible principles of AI in HRM. This is the first review of responsible AI in HRM that focuses solely on studies containing observations, measurements, and tests about this phenomenon. The multi-domain and multidisciplinary approach and empirical focus provides a better understanding of the reality of the development, study, and deployment of AI in HRM and sheds light on how these are conducted responsibly. We conclude with a call for research based on what we identified as the most needed and promising avenues.

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Resume Format, LinkedIn URLs and Other Unexpected Influences on AI Personality Prediction in Hiring: Results of an Audit

Cited by 8 publications

References 32 publications

Information systems practice for the age of consequences

Information systems practice for the age of consequences

Making It Possible for the Auditing of AI: A Systematic Review of AI Audits and AI Auditability

Responsible artificial intelligence in human resources management: a review of the empirical literature

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