The International Gaming Standards Association (IGSA) has published a paper on the “Ethical Use of Artificial Intelligence” (AI) in the gaming sector, and states it covers nine important topics.
A statement on Monday said it was the first time one of the association's non-technical committees has released such a document.
IGSA President Mark Pace said, “These best practices were primarily used by regulators and were created to provide a framework to provide monitoring of AI use in the industry.”
The paper, published by the Association's Ethical Artificial Intelligence (EAI) Committee, was completed with the opinion of the IGSA Regulatory Commission. The latter is said to be composed solely of regulatory representatives.
The document itself states, “While there is an agreement that AI-driven systems deployed within gaming environments must have a reliable responsibility, the global gaming community faces challenges related to lack of understanding of technology.”
The paper added: “Due to this lack of understanding, there is concern that regulations could potentially use AI algorithms and applications in unethical ways, fragmenting AI usage policies, leading to delays and confusion in implementation.”
Among the ethical points raised in the paper are the fact that gaming technology suppliers have [gaming] Information about operators, game products using AI algorithms or applications may cause players to compete with AI.
“If this information is clearly communicated and available as part of the language of game instructions provided by the supplier, the operator must disclose to the player that this situation may occur during gameplay and may occur using a clear, easily accessible language.”
“This is the first of a series of new 'best practices' from IGSA, and will release them from other committees as well,” Nimish Purohit, chairman of the IGSA and former chairman of the EAI committee, said in a announcement Monday.
“These documents are considered 'living documents' and we will add them as the committee continues to produce work output. ”
