The companies must establish AI governance through Information security programs Privacy compliance programs Risk management programs While AI regulatory approaches might differ for each country there is a certain commonality that makes it similar for every business when it comes to internal AI governance. Clear documentation about AI: Companies should know all the operational decisions which are made using AI models.These are questions that regulators and even consumers will want to know, so don’t get caught on the wrong foot.Also, have a clear company policy that will govern AI adoption in all future projects. Develop transparent AI algorithms: Ensure that AI algorithms are transparent and explainable.This means that the decision-making process of AI should be clear and understandable, and the reasons behind AI's decisions should be explainable to stakeholders.This can be a challenge as AI is self-learning. Ensure data privacy and security: Ensure that data privacy and security are a top priority when developing and deploying AI technologies.This includes protecting personal data and ensuring that data is used ethically and responsibly. Conduct regular audits: Conduct regular audits to ensure that AI technologies are being used ethically and responsibly.This should include monitoring the impact of AI on different stakeholders and making necessary adjustments to ensure ethical compliance