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
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.
Autonomous vehicles
The challenges of self-driving vehicles are many and a large portion of them lie in the fact that a human is still required behind the steering wheel. While the complete task of replacing the human behind the wheel is still years away, manufacturers are breaking down the problem into more manageable pieces to ensure a smooth transition. Some of the disruptive startups have even promised to have fully self-driving vehicles on the road by 2020, but the reality is far more complex. In fact, the biggest obstacle for self-driving vehicles is related to AI problems.
Robots in the home
It’s possible that we’ll soon have robots that can help us around the house, but that doesn’t mean that they’ll replace humans any time soon. While robots are not expected to replace us any time soon, artificial intelligence is helping companies and entrepreneurs design robots that are affordable enough to enter the home. Here are some of the ways robots can help us in our everyday lives. These robots will help us take care of household chores like cleaning, entertainment, and domestic security.
Privacy implications
As AI becomes more pervasive, new regulations and increased privacy enforcement are taking shape. Responsible use of AI requires that applications meet privacy requirements. It is vital to align privacy efforts now. In the future, privacy compliance will be a pre-requisite for any AI application. Here are some privacy concerns to keep in mind. Listed below are a few of the most important privacy issues that should be addressed by AI applications.
Impacts on the economy
The impacts of AI on the economy are largely uncertain, but the technology has the potential to increase worker productivity and disrupt the traditional labor market. Technological changes, including AI, have increased concentration in many sectors of the economy. As a result, the impact of AI will likely be unevenly distributed. The policy response to this emerging technology should be targeted and build on past success. Here are some of the most critical policy questions surrounding AI.
