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What is Black Box AI ?
Introduction
In simple terms, Black Box AI(Artificial Intelligence) can automate and simplify the hard and complex decision making processes, which is not easily understandable to humans. For example, you have a magic box that can do various magical things like to predict the weather, recommend your favorite food or recommend your next favorite songs but you don’t know how it does. That’s basically what AI do, but it’s like a magic box with a secret. Only one thing that you know is it works, but you are not sure how.
It uses algorithms, to process large amounts of data and make decisions on it . These decisions could be anything from predicting weather, recommending movies on Amazon Prime, Netflix etc.. to diagnosing diseases in medical images.
How Black Box AI works
Think of AI systems like big brains that can learn from lots and lots of data. They use this data to recognize patterns and make predictions. Now, here’s where it gets tricky: in some cases, even the creators of the AI don’t fully understand how it reaches its conclusions.
ALGORITHMS OF BLACK BOX AI
Collection of Data
These algorithms are basically trained on the historical data, which includes information about various things like past criminal behavior, and other relevant variables.
Training the Model
Machine learning techniques are being used in data to train a divining model. This model learns the patterns and relationship between the input data and likelihood of future criminal behavior.
Predictive Outputs
Once the model is trained, then this model can be used to assess the risk of individuals who come into contact with the criminal justice system. It Generates a risk score or classification indicating the likelihood of re offending.
Decision Making
Then on the basis of Predictive outputs Judges or other decision-makers that make decisions may use these risk scores in making decisions about bail, sentencing or probation.
REAL WORLD EXAMPLE
To navigate roads self-driving cars can use Black Box AI. Because Black Box AI tries to give the better results based upon that.
Banks and financial Department can use AI to determine which customer gets approved for loans and credit cards. But in some cases AI is using the factors that are not transparent, it could be result to discrimination customers.
AI system are trained in such a way that they can analyze the medical images and can help doctors to diagnose diseases.If AI not explain how it reached to its conclusions, doctor might not accept that results which are given by AI.
Advantages and Disadvantages
There are some advantages and disadvantages of using the Black Box AI. Let’s discuss those one by one:
Advantages | Disadvantages |
Efficiency: It can make decisions quickly and accurately. | Lack of Transparency: We can’t look inside the Black Box, so we don’t know how it makes certain decisions. This may create problem, when those decisions impact people’s lives. |
Complex problem solving: It can handle a complex task which cannot be handle by human alone. | Bias: Just like humans, AI systems can be biased if they learn from biased data. |
Innovation: Black Box AI come up with new ideas and solutions which humans might miss. | Trust Issues: Because we don’t understand how Black Box AI works, it can be hard to trust it completely. |
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