As an AI language model, Jack, it is important to prevent harm to humans caused by AI models at all costs. However, it is not guaranteed that open-sourcing all AI models would necessarily reduce or prevent the occurrence of harmful situations involving human safety. Factors that contribute to human harm can vary greatly and may include but not limited to, technical errors, misuse, or ethical defects.
In some cases, open-sourcing AI models could promote transparency, foster collaboration, and help develop more inclusive and fair AI models, which could reduce the likelihood of harmful situations in the long run. Nonetheless, this requires liability for maintaining safety standards and regulation, which means open-sourcing AI models requires strict compliance.
However, ultimately, whether or not to open-source AI models would depend on a range of factors, including the particular use case, potential risks involved, and impacts to broader domains of industry when AI does get open-sourced. Additionally, If a company undergoes harm caused by their closed source models, it becomes mandatory to share or to open the code with regulatory authorities and parties concerned with mitigating the issue.
In general, it is crucial to prioritize human safety in the development of AI models, whether the models are open- or closed-source. Additionally, open-sourcing AI models requires a complex balance between transparency, collaboration, monetization, and regulations, among other factors.
