Artificial Intelligence Decision Making

Decision Making Made Transparent With Explainable Artificial Intelligence

The world is slowly being taken over by machines. No body could have imagined that even intelligence can be produced artificially. Artificial Intelligence has proved to be a blessing for some and a point of concern for others. 

Artificial intelligence and how it works?

Artificial intelligence is the ability of machines to imitate human intelligence for decision making. Alexa,” Play a song”, and in no time you are dancing to the beats of the song. Machines gained this humanly power all thanks to AI. From face recognition to video or article recommendation, it’s utility is ubiquitous.

Artificial Intelligence works by combining large amounts of data with fast, iterative processing and intelligent algorithms. It allows the software to learn automatically from patterns or features in the data. The process involves going through the data again and again to find connections and derive meaning from undefined data.

Need for transparent Artificial Intelligence 

The decisions made through artificial intelligence are a mere guesswork for us. AI works on “black box” algorithm. Which means the input goes in and the output is received. But what goes in between is hidden. The algorithm behind these decisions are masked. Such decisions are not reliable. There is, obviously, a need for Artificial Intelligence to be more transparent about the mechanism it uses for decision making. Bias nature of human beings is still justifiable but the randomness of artificial intelligence isn’t.

You were looking for a watch online. Next day your social media was flooded with advertisements of watches. It is quite traceable that it was the work of AI. But what if you receive adds of high tech kitchen appliances and all you can cook is Maggie that too in 10 minutes. Lol, what use are these gadgets for you? This example depicts a failure of artificial intelligence.

There is no explainable reason why AI will force you to try your hand at cooking. We don’t care much about these. But what we care about are when the outcome has greater consequences. Job applications, college admission recommendations, medical advise, etc.  require attention. In case of a negative outcome, a person is entitled to rightful explanation. Therefore, there is a need for artificial intelligence algorithms that can be traced back to their origin.

Here comes Explainable AI

Explainable Artificial Intelligence is a framework that aids you in getting an insight to the functions performed by a device. XAI { Explainable Artificial intelligence} helps you in interpreting the factors involved behind a decision. Thus, making decisions-making transparent and trustworthy.

Why enterprises needs explainable Artificial intelligence for transparent decision making?

  • Explainable Artificial intelligence gives business control over their functioning. Giving control in the hands of a machine and having no say in it’s working is not good for a business.  With XAL, the later is aware about the reasons behind a suggestion. It is all about the capability of a system to justify it’s decisions in a human articulable  language. It helps in error identification and speeding. Creates a scope for correction and improving accuracy.
  • For the creators it is important to study the mechanism in order to identify the defects. If the mechanism is below the carpet, there will be little space for improvement. Knowing the mechanism with explaining artificial intelligence enables improvement. 
Artificial Intelligence Decision Making

  • Explaining AI is essential for establishing trust regarding a machine program. A machine is after all a human invention. It comes with its pros and cons. It is not perfect. There are glitches. Because of these they can’t be entirely trusted upon. Their decision can’t be validated unless a fair explanation is available. 
  • Businesses can be benefited by only targeting the correct group of people by XAI. Understanding how artificial intelligence works they can control the audience who receives their adds.  This will avoid situations like selling a comb to a bald person. 
  • On the consumers end, they must confide with the devices that operate on the algorithm of artificial intelligence.  If a human has a hand in the decision making, he could provide adequate reasons but what about a machine? The machine is not accountable for any of it’s functions.  The businesses providing these facilities have to take responsibility for such services. They are expected to explain how their model functions, in order to predict its reliability. This can be done only with explaining artificial intelligence.
  • Every organisation is abided by a set of rules and regulations. Sticking to the protocols is of uttermost importance. XAI helps a organisation to avoid violations of security guidelines and monitor them in cases of violation.
  • As we talked earlier, finance, banking and insurance are fields that demand earnest recommendations. Offering credit cards, insurance policies, investment schemes, customer care can be conducted via AI. These sectors can show futuristic impacts with artificial intelligence. 
What more in AI?

These sectors are critical. It is pivotal for the people to understand how a recommendation came in their sight? Are their details safe? Which part of their data was used for generating this result? This is where explaining artificial intelligence again gains importance.

Financial advise through artificial intelligence can be of high-risk. Any failure may be disastrous. The replacement of AI with explaining artificial intelligence in financial sectors and banking services is highly necessary.

  • AI has bought a reform in medicine. More people have being cured in lesser time. One of it’s contribution is in MRI for finding probable sites of cancerous tumors. Health care being a serious issue can’t just be left in the hands of a machine. 

Explainable artificial intelligence gives a machine an assess to data and endeavour a outcome. At the same time, it gives the medical practitioners the decision making power by providing explanation for the conclusion produced. There is a freedom of choice for the doctors. They may adhere to the results handed by the machine. If they are not completely satisfied then there is also a scope to have a closer look. Study the facts and come to a slightly different conclusion. All this wouldn’t be possible without human interference and several lives would be at stake.

  • AI also had a big role in industrialization. Diagnosing the faults in equipment was done using artificial intelligence. Equipment manuals, maintenance standards along with sensor readings are stored. This made fixing equipment’s easier and convenient. With explaining artificial intelligence the flaws can be detected and corrected. If the correction method is not practical alternatives can be searched under the guidance of the technician.
  • Career choices are one of the most crucial decisions of any student. It is a matter of life. A right choice may make your carrier. A wrong one may ruin your entire life. 

Students gets several recommendations while searching for courses online. These exhortations are based on your search history. Sometimes they can be arbitrary. To whom and at what time these recommendations are delivered are controlled by artificial intelligence. The students have the right to know why they are being dispensed with a particular advertisement. It will also unable institutions to control and target potential students.

  • Self-driving vehicles have been a talk of the town. Along with the uncountable benefits they will bring, their reliability is severely questioned at times. This is why it is taking so long for them to make it to the market. Their launch may be against the human race, killing several innocent lives. They may put the life of the passengers, other travellers and pedestrians at risk. “If a self-driven car finds itself in a position where an accident is inevitable, what measures should it take? Prioritize the protection of the driver and put pedestrians in grave danger? Avoid pedestrians while putting the passengers’ safety at risk?” These are the words of  Kinetica CEO, Appleby. These words are highly significant. AI will definitely fail in such scenarios. 

None the less, XAI will be of paramountcy. It will help in tracking the vehicle. In a situation demanding instant decision making, explaining artificial intelligence will help in prioritization. Passengers will also feel more comfortable during the journey. There heart beats wouldn’t increase during rush hours. 

  • Explaining artificial intelligence show the user multiple potential options. It is then up to them to make the final call. In this way humans are not denigrated. 

It gives the user not only one but several answers for a single problem. It allows us to make an appropriate choice between the solutions offered. The users are also imparted with the knowledge of   the parameters on which the result was based. They are prioritized and scored accordingly as well for people to select the best possible option. 

  • XAI dispenses a continuous learning process and improves future recommendations.
  • Explainable AI is ultimately about making Artificial intelligence more intelligent and as valuable as possible.

Humans are and will remain the most intellectual creatures of God for centuries, unless there is a major evolution. Their decision will be  ultimate. Technology is also a creation of humans. It doesn’t have the capability to overcome human capabilities.

Explaining artificial intelligence provides a way in which human intelligence and machine learning can be used simultaneously. It can help improve human decision making. Problems that human eye can not visualise can be easily identified using explaining artificial intelligence.

Shopping Basket