Evidence map›Paper›PMID 40911172›Full record

ArticleJournal of gambling studies2026

The Future of the Gambling Industry is AI: Insights from Expert Interviews on Human-AI Collaboration, Regulation, and Ethics.

Nasim Binesh, Kalpana Ponnada, Ahmad Syah

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of gambling studies, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Nasim BineshDepartment of Tourism, Hospitality, and Event Management, University of Florida, Gainesville, FL, 32611, USA. bineshf@ufl.edu.ORCID http://orcid.org/0000-0002-8706-2401
Kalpana PonnadaCollege of Engineering, Department of Computer Science Gainesville, University of Florida, Gainesville, FL, 32611, USA.
Ahmad SyahDepartment of Tourism, Hospitality, and Event Management, University of Florida, Gainesville, FL, 32611, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, a total of 41 experts were interviewed in two phases (2021 and 2023). The interviews were transcribed and examined with advanced machine learning models like k-mean clustering and BERT. The findings revealed five main themes: human-AI collaboration, regulatory changes, AI model development, gaming system and player engagement, and AI ethics and risks. The findings show a shift from the experimental nature of AI in 2021 to emerging patterns of terns personalized player interaction, data-driven decision-making, and predictive analytics. Challenges were detected (e.g., regulatory gaps, algorithmic bias, operational integration, fraud prevention, and responsible gambling), and solutions were provided to address them. This research contributes to understanding AI's transformative role in the hospitality and tourism industry, providing actionable insights for operators, regulators, and researchers navigating the balance between innovation and responsibility.

Indexed as

Artificial IntelligenceGamblingCooperative BehaviorHumansAI ethicsArtificial intelligenceGambling industry regulationHospitality and tourismHuman-AI collaborationPredictive analyticsResponsible gambling

Identifiers

PMID40911172

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.