Artificial Intelligence: An Integrated Innovation (Part II)
Artificial Intelligence has an illustrious past, with certain key innovators, like Alan Turing, and other conditions, like the transition from analog to digital technology, that led to AI being such an integral ingredient in modern society.
A vital cause of this has simply been the changes in people’s needs and wants that AI can contribute to, and as artificial intelligence becomes more intelligent, it can do a wider array of tasks reliably. Obviously, this generates issues; if AI is now doing a certain job, who loses theirs? And, how well and consistently can AI do that job?
An example of this can be seen in healthcare, where artificial intelligence invokes overwhelming prospects by aiding doctors identifying cancers. As humans are affected by over 800 distinctive cancers and differentiating them requires a colossal process and where access to a database of all the symptoms is necessary, AI is beneficial because it can streamline the process to a matter of seconds.
By creating a program which acts as checklist, and running multiple lines of the code, for treatments, vaccines, past cases and effects, the AI can essentially replace the doctor for all aspects. Heavy research is being dedicated to this aspect of artificial intelligence as it can cut costs for both the government and medical companies. The current costs of GPs to the NHS are considerable with a single 15-minute appointment with your local GP costing £45, and prescriptions costing almost £50 (including the drug), AI is a far more sustainable option to the NHS.
Artificial intelligence can also help doctors through robots which can help perform operations. A study in Washington comprised of a team supervising a robot that performed soft tissue surgery, stitching a pig’s bowel, apparently “doing so better” than a human surgeon.
Another example of artificial intelligence can be seen in the automotive industry, mainly due to the progression of self-driving cars. Such cars would have enormous numbers of sensors in and around the car that provide data. As any driver will tell you, no situation is ever the same. Computers are given stipulated maps of the area and traffic information. Then the AI is able has make decisions based on the combined data sets.
This is different to conventional computers because unlike deciphering a simple series of commands, the artificial intelligence can compute all the possible inputs, outputs and consequences of its actions. This is assisted by the records of the AI’s previous actions with the vehicle. The artificial intelligence will be making essential choices like speed, steering and fastest route.
The idea of artificial intelligence in such practical aspects presents a diverse collection of positives and negatives for its use. Firstly, due to the AI doing certain tasks, people won’t be doing them: unemployment. This form of it would be the worse that any sector would have experienced because artificial intelligence doesn’t simply replace a few people or some parts of the job, it can replace a whole sector.
Take AI that contributes to self-driving, it can destroy the entire fleet of drivers for taxis, replaced by systems that can operate to provide a more profitable service. Another negative aspect of artificial intelligence is that its dependability. Using AI in scenarios where lives are at stake is risky. People will be relying on the program to drive cars, conduct surgery manage massive portions of data. Using artificial intelligence doesn’t just carry the regular risks of hacking and coding, but additionally there could be problems in the decisions we trust AI to make.
What if the program accidentally transferred your money to someone with one digit of a wrong sort code; artificial intelligence is profoundly more dependent on the inputs it receives, and their impacts far more serious. In addition to this, the AI could face scenarios where it must make a choice between two options that are both bad, a no-win scenario. The program might have to choose between running over a schoolchild to save a couple.
Artificial intelligence also has numerous benefits, especially to the economy. It radically reduces cost while increasing productivity. With machines that can make human decisions, firms don’t need to hire as many people. The computers that they do buy can run 24/7, don’t need breaks and have lower maintenance than people. In addition to this, they can train faster than humans, by feeding a series of scenarios and their responses, the AI can “learn” and adapt to situation in a matter of hours, reaching the capabilities of a highly trained individual.
On the whole artificial intelligence presents the world with a promise of evolution in the form of productivity and is a tool that can be purpose built for a variety of tasks. Although it has its risks, it is crucial to remember that AI is not a finished product and never will be. It can always learn, adjust and evolve into a better product to achieve its tasks.