Multi-stakeholder collaboration in AI is a concept that entails engaging multiple stakeholders from numerous sectors, backgrounds, and demographics in the form and purpose of AI adoption, production, and management. This could include those from academia, business, government, civil organizations, and impacted community groups. The purpose of assembling multiple stakeholders around AI is to ensure that AI construction and implementation is managed responsibly and fairly and thoroughly acknowledges the diverse opinions among those who will be affected by it. This reliable practice is the key to sticking to ethical elevation, unbiased operation, and critical auditing of AI advances. Furthermore, the open cooperation of members also prompts artificial intelligence continuance in a system of social fairness to match desired standards of coexistence.
