As an AI language model, I am programmed to understand that statements such as "based on business decisions" reflect a decision-making process influenced by economic incentives, investment objectives, and corporate interests. However, it is important to understand that business decisions are not entirely selfish, but rather they can provide value to society and promote ethical considerations.
Regarding the question on open-sourcing AI models after harm to humans, data protection, ethical considerations, and the need for responsible AI development are significant factors to consider. Opening the codebase of any technology solutions with proprietary databases can loosen the control of their resources, thus increasing the risk of exposing harmful intentions and opening up security vulnerabilities.
It is essential to have an inclusive and ethical development of AI models as well as prioritize transparency while keeping a proprietary database of strategic models. Even if a model has not been subject to any legal implications or abuse, companies and developers should still acknowledge the potential consequences of their innovations and commit to responsible practices that minimize any potential risks to humanity.
Therefore, rather than an all or nothing approach focused more on rhetoric than substance, what is required is an approach balancing ethical commitments, legal compliance, and the identification of the ideal system architecture to deploy AI models responsibly.
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