Abstract: Gambling operators have incorporated specific responsible gambling (RG) measures as a unique approach to enhance their corporate social responsibility (CSR). However, staff accuracy in problem gambling identification, one important RG measure, remains low: venue staff can identify only 36% of patrons experiencing gambling problems. Artificial intelligence (AI)’s integration with responsible gambling (RG) practices has gained increasing attention in the gaming industry. The technological mechanisms set by AI can exploit the correlation and interaction between variables in a multivariate way, an utmost difficult task for humans, to identify risky patterns and determine which player attributes correlate with positive behavioral changes. The result helps to develop better RG strategies and safe play guidelines for players. However, AI technologies encountered a low degree of acceptance and adoption in the industry because of technical, ethical, regulatory issues regarding AI applications for gambling and the way of data collection from gamblers. The extensive literature review on both AI and RG aims to recommend best practices for the use of AI in a way in which the gaming industry can comply with responsible gambling guidelines, while also ensuring they adhere to local law and best practice in data privacy. The recommendations cover four aspects of AI implementation: data privacy, security and governance; ethical consideration in deployment and design; data quality; and, transparency, interpretability, and accountability of AI systems. As there are almost no regulations designed for AI, this paper proposed the first set of solutions that can help gambling regulators, operators, and players better understand AI systems, thus using them more
effectively and responsibly. Link to the paper
Citation: Huang, Q. (2020). Driving artificial intelligence use in responsible gambling practices (paper submitted in partial fulfilment of the requirements for the Master of Science in Hospitality Management, University of Nevada).