Please enable JavaScript.
Coggle requires JavaScript to display documents.
Is artificial intelligence dangerous? - Coggle Diagram
Is artificial intelligence dangerous?
Benefits
Reduction in Human Error
With Artificial intelligence, the decisions are taken from the previously gathered information applying a certain set of algorithms. So errors are reduced and the chance of reaching accuracy with a greater degree of precision is a possibility.
Example: In Weather Forecasting using AI they have reduced the majority of human error.
Takes risks instead of Humans
We can overcome many risky limitations of humans by developing an AI Robot which in turn can do the risky things for us.
defuse a bomb, explore the deepest parts of oceans, mining for coal and oil
Available 24/7
Human being work 6-12 hours a day and they start to get tired. However, using AI can make machines work for 24/7 without breaks or bored like humans and they dont get tired
Educational Institutes and Helpline centers are getting many queries and issues which can be handled effectively using AI.
Helping in Repetitive Jobs
Using artificial intelligence we can productively automate these mundane tasks and can even remove “boring” tasks for humans and free them up to be increasingly creative.
In banks, we often see many verifications of documents to get a loan which is a repetitive task for the owner of the bank. Using AI Cognitive Automation the owner can speed up the process of verifying the documents
Both bankers and customers will be benifited
Digital Assistance
Use digital assistants to interact with users which saves the need for human resources.
Using AI the organizations can set up a Voice bot or Chatbot which can help customers with all their queries. We can see many organizations already started using them on their websites and mobile applications.
It can provides things that customers need
Faster Decisions
AI alongside other technologies we can make machines take decisions faster than a human and carry out actions quicker.It could analyze quicker so that results could be delivered faster.
Chess game, for example, if you play against GPU in hard mode, it is impossible to defeat it because behind that screen is an AI, it will take the best possible step in a short amount of time according to the algorithms used in it.
Daily Applications
Apple’s Siri, Window’s Cortana, Google’s OK Google are frequently used in our daily routine whether it is for searching a location, taking a selfie, making a phone call, replying to a mail and many more.
New Inventions
AI is powering many inventions in almost every domain which will help humans solve the majority of complex problems.
Recently doctors can predict breast cancer in the woman at earlier stages using advanced AI-based technologies.
Predictive maintenance
It allows to carry out a maintenance of the industrial equipment based on the times and conditions of operation of the same, allowing to increase its performance and life cycle.
Control and optimization of productive processes and production lines
Through AI, more efficient, error-free processes are achieved, obtaining greater control over production lines in the company.
Risks
AI is very powerful, it can do various things
Autonomous weapons, for example, they are AI system that designed to kill. Therefore, in the hands of the wrong person, these weapons could easily cause mass casualties.
AI arms race could inadvertently lead to an AI war that also results in mass casualties
High Costs of Creation
Machines need repairing and maintenance which need plenty of costs. It’ s creation requires huge costs as they are very complex machines.
Making Humans Lazy
AI is making humans lazy with its applications automating the majority of the work. People start to overuse AI and this is a big problem in the future.
Unemployment
As AI is replacing the majority of the repetitive tasks and other works with robots,human interference is becoming less which will cause a major problem in the employment standards.
No Emotions
There is no doubt that machines are much better when it comes to working efficiently but they cannot replace the human connection that makes the team.
Lacking Out of Box Thinking
Machines can perform only those tasks which they are designed or programmed to do, anything out of that they tend to crash or give irrelevant outputs which could be a major backdrop