It is not far-fetched to think that in the future, artificial intelligence will help us with every aspect of our lives. It remembers every conversation and invention, has read hundreds of years of patent filings, and has studied all of the business books since Ben Franklin. In addition to this, it is also capable of cross-referencing new ideas with those of other conferences. But will this be all? How far can artificial intelligence go before it becomes the norm in our lives?
Artificial general intelligence
The creation of a robust AGI is essential for the advancement of mankind, but it poses certain risks as well. While a robust AI can perform many tasks, it may exhibit deviant behaviors. These systems may be vulnerable to human errors, such as failing to recognize an emergency. In order to prevent deviant behavior, FLI recommends researching how to make AI systems more corrigible. Corrigible systems do not exhibit avoidance behavior. They may learn through inverse reinforcement learning, which rewards the desired behavior through a reward system. Further, if an AI system is created with a high-level of autonomy, it may be difficult to ensure that humans maintain control of it.
Self-teaching systems in artificial intelligence are intelligent agents that acquire knowledge and renew it over time. These adaptive systems are influenced by neuroscience and seek to engage with users and the surrounding environment. They can also learn by observation of changes effected by the activities they perform. Self-teaching systems are more flexible than parametric logical systems and are highly beneficial for a wide variety of applications. This article discusses some of the key principles and concepts related to this technology.
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