Difference between revisions of "Predictive Modeling Algorithms"
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===Google=== | ===Google=== | ||
===COMPAS=== | ===COMPAS=== | ||
| + | As technology advances, more and more decisions affecting individuals are being made by hidden algorithms in our society. One area where this has raised concern is in the criminal justice system, specifically regarding the fairness and due process of these algorithms. One example of a widely-used, yet secretive algorithm is COMPAS (which stands for Correctional Offender Management Profiling for Alternative Sanctions) has been the focus of many legal challenges. | ||
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===Medical Algorithms=== | ===Medical Algorithms=== | ||
==Ethical Concerns== | ==Ethical Concerns== | ||
==References== | ==References== | ||
Revision as of 01:04, 27 January 2023
Contents
Blackbox Algorithms
Introduction
A black box algorithm is one where the user cannot see the inner workings of the algorithm. It is a rather controversial system, due to the secrecy they contain and the lack of transparency, although its creators defend it as a security and privacy system to avoid data leaks and unfair competition.[1]
Predictive algorithms are a type of machine learning that are used to predict what is likely to happen in the future based on historical data. These algorithms can be used to analyze and make predictions on a wide range of data, including images, text and countless more. Predictive algorithms have played a vital role in many fields and have improved decision making processes by providing insights and predictions. Recent developments in data science has led to the idea that machine learning could be a potential tool that can be used for criminal justice. The use of AI aims to address issues of inequality between criminals and law enforcement by providing tools for improved crime prevention and control. Predictive policing is the method of using data analytics to predict where crimes are likely to occur in order to use police resources more efficiently. This may include historical crime data, and demographic data to identify patterns and trends that can be used to predict future crimes. This has the potential to reduce crime, but it also has the potential to perpetuate pre-existing biases and errors which could potentially hinder the effectiveness of the justice system while disproportionately targeting certain communities.
Examples of Black Box Algorithms
COMPAS
As technology advances, more and more decisions affecting individuals are being made by hidden algorithms in our society. One area where this has raised concern is in the criminal justice system, specifically regarding the fairness and due process of these algorithms. One example of a widely-used, yet secretive algorithm is COMPAS (which stands for Correctional Offender Management Profiling for Alternative Sanctions) has been the focus of many legal challenges.
