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To some degree, it is possible to predict what is coming for AI. This can be achieved by looking at the current trajectory and extrapolating what will be coming next. However, this extrapolation is extremely limited. Deep neural networks as a basic structure for AI existed back in the 1980s; it was not until recently when there was enough data and technological capabilities that this became a reality [4]. Without knowing what technological advances will disrupt the status quo or become available, it is impossible to predict the far future of AI. This is the underlying importance of being viewed as a top innovator and researcher into the subject, so the United States may be first with the latest and greatest AI applications.
1.7 Conclusion
When considering the intersection of AI, cybersecurity, and healthcare industry, we have seen that a myriad of problems exist today, and there are more coming down the pipe in the future. To be prepared, there are several issues that must be addressed. The first issue is also the hardest to resolve, and that is the morality of AI. Morality is a fluid topic that changes not only over time but also by who is viewing the moral issue. Therefore, it is recommended that an international organization preside over AI and what morals are being implemented into AI in the current and future state. By having an international organization, it would allow voices to be heard from all nations so that the best possible options can be decided. The reason that this issue is the hardest to resolve is a conflict between morality and legislation. Having an international organization that acts as a ruling body impedes growth and cannot keep pace with AI in numbers and advancements.