AI issues that companies need to be aware of
Here are some key issues to keep in mind when using AI in your business:
The main problem with AI
- The singularity problem
- Liability issues in the event of an accident
- Ethical judgment issues
- Privacy issues
- The problem of AI unemployment
- The problem of information leakage risk
- The problem of black boxes
The singularity problem
The singularity is a phenomenon in which AI surpasses human intelligence, and is thought to be a possibility that could occur in the future. If the singularity actually occurs, one of the problems is that humans may no longer be able to fully control AI. There are various theories about when the singularity will be reached, including around 2040, and some people are skeptical that the singularity will actually occur at all.
Liability issues in the event of an accident
Another problem is that it is not clear who should be held responsible if an accident occurs due to a task performed automatically by AI. Autonomous AI runs the risk of causing accidents that even the humans using it cannot predict. Since the legal system regarding AI-related accidents has not kept up, the issue is how to respond if a company becomes the perpetrator or victim of an accident.
Ethical judgment issues
Although AI can make rational decisions based on data, it cannot examine whether they are ethically correct. In particular, in fields that involve human lives, such as medicine and emergency care, there is a risk that AI will make ethically incorrect decisions.
Privacy issues
Another problem is that the collection of personal information by AI constitutes a violation of privacy. For example, the AI of a recommendation system that automatically displays recommended products is input with data linking customer information and purchase history. If the AI collects information that users do not want to be known, it could cause problems, so appropriate measures must be taken. Establishing terms and conditions and limiting the scope of use of collected personal information will help protect privacy.
The problem of AI unemployment
AI unemployment refers to the problem of AI-equipped systems and robots taking over human jobs. There is a risk that highly repetitive tasks or tasks where the format of the deliverables is predetermined will be replaced by AI. For example, data entry and checking are more efficient when performed by AI than by humans. AI is also good at tasks where correct procedures are set, such as accounting. While AI is highly convenient, the problem with AI is that it may take away jobs from existing occupations.
The problem of information leakage risk
The use of AI also carries the risk of information leaks. For example, if an AI is trained on a company’s data to analyze sales forecasts or management policies, there is a risk that the AI could be hacked. There is also concern that confidential information could be leaked to the outside world if an internal employee with access to the AI misuses the AI. Another issue that requires attention is the risk of sophisticated cyber attacks using AI.
The problem of black boxes
Black boxing refers to the situation where the actual work being done becomes unclear. While analysis and optimization using AI are highly accurate, it is common for the process by which a certain conclusion was reached to be unclear. In particular, with AI that uses cutting-edge technologies such as deep learning, the operation of the system can become a black box. The problem with black boxing is that it becomes unclear whether the output results can be trusted, and the basis for these results cannot be explained.
It is important to understand the problems with AI and use it appropriately
Ways that companies can use AI include improving business efficiency and making data predictions. However, it is important to consider the scope of use after understanding the potential problems that may arise from its implementation. It is necessary to consider what information to teach AI and what tasks to assign it. It is important to explore appropriate ways to use AI, such as continuing to have humans perform tasks that require human judgment.
AI has several issues, such as liability issues in the event of an accident, the risk of information leaks, and becoming a black box. It is important to consider the nature of the work that will use AI and use it only within the scope that is least likely to cause problems. It is important to understand how Ai Is Changing everyday Work the issues with AI before using it appropriately.
