Exploring collaborative decision-making: A quasi-experimental study of human and Generative AI interaction

Technology in Society, Год журнала: 2024, Номер 78, С. 102662 - 102662

Опубликована: Июль 17, 2024

This paper explores the effects of integrating Generative Artificial Intelligence (GAI) into decision-making processes within organizations, employing a quasi-experimental pretest-posttest design. The study examines synergistic interaction between Human (HI) and GAI across four group scenarios three global organizations renowned for their cutting-edge operational techniques. research progresses through several phases: identifying problems, collecting baseline data on decision-making, implementing AI interventions, evaluating outcomes post-intervention to identify shifts in performance. results demonstrate that effectively reduces human cognitive burdens mitigates heuristic biases by offering data-driven support predictive analytics, grounded System 2 reasoning. is particularly valuable complex situations characterized unfamiliarity information overload, where intuitive, 1 thinking less effective. However, also uncovers challenges related integration, such as potential over-reliance technology, intrinsic 'out-of-the-box' without contextual creativity. To address these issues, this proposes an innovative strategic framework HI-GAI collaboration emphasizes transparency, accountability, inclusiveness.

Язык: Английский

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Artificial intelligence may affect diversity: architecture and cultural context reflected through ChatGPT, Midjourney, and Google Maps

Humanities and Social Sciences Communications, Год журнала: 2025, Номер 12(1)

Опубликована: Янв. 6, 2025

This study aims to understand how widely used Artificial Intelligence (AI) tools reflect the cultural context through built environment. research explores outputs obtained with ChatGPT-4o, Midjourney's bot on Discord and Google Maps represent of Stockholm, Sweden. Cultural is important because it shapes people's identity, behaviour, power dynamics. AI-generated recommendations images Stockholm's were compared real photographs, GIS demographic data socio-economic information about city. Results show written ChatGPT-4o mostly listed museums other venues popular among visitors, while represented cafes, streets, furniture, reflecting a heavily shaped by buildings, consumption commercial interests. shows sites also enabling users directly add places, like opinions, photographs main features business. These AI perspectives can broaden understanding urban environment facilitate deeper insight into prevailing ideas behind that train these algorithms. suggest generative systems analysed convey narrow view context, prioritising buildings sense curated, exhibited commercialised. Generative could jeopardise diversity some places as "cultural", exacerbating relationships even aggravating segregation. Consequently, public institutions should promote further discussion tools, help combine forms knowledge. The providers ensure more inclusivity in training data, users' writing prompts disclose limitations their sources. Despite current potential reduction have unique opportunity produce nuanced outputs, which societal equality.

Язык: Английский

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Requirements for trustworthy AI-enabled automated decision-making in the public sector: A systematic review

Technological Forecasting and Social Change, Год журнала: 2025, Номер 215, С. 124076 - 124076

Опубликована: Март 5, 2025

Язык: Английский

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AI capability and environmental sustainability performance: Moderating role of green knowledge management

Technology in Society, Год журнала: 2025, Номер unknown, С. 102870 - 102870

Опубликована: Март 1, 2025

Язык: Английский

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Resilient green infrastructure: Navigating environmental resistance for sustainable development, social mobility in climate change policy

Heliyon, Год журнала: 2024, Номер 10(13), С. e33524 - e33524

Опубликована: Июнь 24, 2024

Язык: Английский

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Generative artificial intelligence usage by researchers at work: Effects of gender, career stage, type of workplace, and perceived barriers

Telematics and Informatics, Год журнала: 2024, Номер 94, С. 102187 - 102187

Опубликована: Сен. 1, 2024

The integration of generative artificial intelligence technology into research environments has become increasingly common in recent years, representing a significant shift the way researchers approach their work. This paper seeks to explore factors underlying frequency use AI amongst professional environments. As survey data may be influenced by bias towards scientists interested AI, potentially skewing results perspectives these researchers, this study uses regression model isolate impact specific such as gender, career stage, type workplace, and perceived barriers using on AI. It also controls for other relevant variables direct involvement or development, collaboration with companies, geographic location, scientific discipline. Our show that who face adoption experience an 11 % increase tool use, while those cite insufficient training resources 8 decrease. Female 7 decrease usage compared men, advanced 19 Researchers associated government advisory groups are 45 more likely tools frequently than roles. for-profit companies %, medical institutions hospitals 16 15 respectively. contributes deeper understanding mechanisms driving valuable implications both academia industry.

Язык: Английский

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Ethics and Transparency in Secure Web Model Generation

Advances in information security, privacy, and ethics book series, Год журнала: 2024, Номер unknown, С. 411 - 464

Опубликована: Июль 26, 2024

The chapter discusses how ethics and transparency relate to creating secure web models for AI. AI plays a role in development, the authors consider as two critical aspects of this subject, which influences users, stakeholders, or society. examination begins with principles, include fairness, accountability, privacy requirements. They then get into problems models. In chapter, they break down bias fairness concerns at source find ways resolve them This relates trust where explainability are highlighted. also provide case studies showing effectiveness transparent explainable increasing user engagement. delve decision-making frameworks help navigate ethical dilemmas development. It represents conversation on atmospherics empowerment tools, such monitoring evaluation guidelines mobilisation implementation practice governance. To sum up, underline views us do AI-driven Therefore, urge all stakeholders make cornerstones responsible webs.

Язык: Английский

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Can artificial intelligence contribute to the new energy system? Based on the perspective of labor supply

Technology in Society, Год журнала: 2025, Номер unknown, С. 102877 - 102877

Опубликована: Март 1, 2025

Язык: Английский

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A new era of public procurement: critical issues of procuring artificial intelligence systems to produce public services

International Journal of Law and Management, Год журнала: 2025, Номер unknown

Опубликована: Март 13, 2025

Purpose This study aims to shed light on how artificial intelligence based robust algorithms is used in providing public services and the public’s fears about dealing with these systems. The challenges facing governments that use systems are accountability, transparency, integrity addressing errors advanced technologies. Design/methodology/approach descriptive approach describe analyze procurement service purchased. analytical was also problems issues could result from using regarding concerns its of access information, accountability responsibility. Findings government sector must uphold rights, freedoms, human rights rule law, as well a commitment justice, responsibility, integrity, openness if this paper private AI These will still have motivations ideals organization their creators. Accountability governance processes needed. Therefore, developing technologies in-house not solution corporate adoption interconnection. requirements documentation should apply internal external development scenarios. Originality/value outlined difficulties bodies when purchasing long-term effects call for policies procedures tailored needs AI. Future studies might advantages disadvantages openness, particularly disclosures made public. In what ways aid system governance? What restrictions disclosures? Is it possible new forms emerging technology help engage meaningfully discussions due process fundamental rights?

Язык: Английский

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An integrated model to evaluate the transparency in predicting employee churn using explainable artificial intelligence

Journal of Innovation & Knowledge, Год журнала: 2025, Номер 10(3), С. 100700 - 100700

Опубликована: Апрель 16, 2025

Язык: Английский

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