We often think of prejudice as a defect that needs to be purified. it. This is a cognitive shortcut that we need to do well. We constantly bomb shapes, colors, sounds and smells. Even if the human sensory system can collect this information at a rate of about 10 million Bits Per second, our conscious brain can only process 50 bits per second information per second. We are such a successful species, even though we can only process 0.0005% of all the data we collected, our brain has a will to quickly sort the significant to the significant to the ability of our brain.
We do this using the simple rules of heuristics, thumb that help us to decide which information on the basis of reference, experience and human evolutionary adaptation. This is how we can tell, just by its color and appearance, not to put anything in your mouth. This is how we know a dangerous neighborhood, the moment we enter it, even if we have never gone before. When we hear some rustle in the dark, that fight-or-rage reaction we immediately feel because, in some time in the past of humanity, that sound indicated the appearance of a hunter.
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We use such succession to make all types of decisions. This is how we zero on relevant facts when cognitive limits, incomplete information and lack of time denies the luxury of processing all the information we need.
We use different successors, depending on the circumstances. For example, when we meet new people, we invite the presence of representation that allows us to evaluate on the basis of their similarity for some stereotypes that we have already formed. Every time we like someone someone, it is more about what they do with some superficial symptoms that align with any real knowledge, which they are.
These succession keep us walking, which helps us navigate life in a complex world. But they sometimes backfire, and when this happens, we call them bias.
For example, availability prejudice, ‘for example, emotionally important events that are vivid and recently, even if it is appropriate to believe that it has been processed recently data Representative of similar information already obtained. When we are accused of ‘confirmation prejudice’, it means that we have favored the information supporting our existing beliefs, even though it is a useful request to keep us away from questioning that we already know what we already know.
Prejudices can also result in improper results. Employers Eligible candidates are known for ignoring, and even believed that fair judges have allowed their subconscious prejudices to affect their decisions. To address this, we put automated decision -making systems, where we can make aimed at ensuring that important decisions were made fairly, depending on the available data. This, we believed, will reduce the damage caused by prejudice.
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We soon came to know that the algorithms we were using had their own prejudice. The conclusion he concluded was unexpectedly with gender and ethnicity, even though there was nothing clear in the data to support it. Automatic resume screeners systematically ranked CVS of women applicants as the pattern on historical work suggested that men were better candidates. Since these prejudices were inherent in their training data, they were encoded in these algorithms developed for the tasks that were developed for the tasks given to them. What we thought was that purpose logic hid a completely different set of inequalities.
Today, algorithm bias is considered one of the most important risks of artificial intelligence (AI). Now that we know that they can hide those prejudices that are difficult to find out, we treat AI decisions with doubts. As a result, most AI rule efforts focus on ending every final signal of potential bias.
This approach believes that the ideal state is radical neutrality – freedom from all kinds of prejudice. This, however, misunderstands both the nature of the prejudice and the process of feeling.
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Our system does not have bicycles insects; They are devices that we have developed to help us develop, which help us reach the conclusions that we have given real -time decision making obstacles. If we do not invite them, we will be unable to process almost the almost infinite information available at that time when we have to decide. These are the trades that we have to do to avoid being paralyzed by the amount of data, we have to consider otherwise.
If we think of prejudices, which are required to discover useful signals from the fire-drain of information, then it becomes easy for us to cover ourselves in business-bounds involved in deploying them. Instead of looking to create a prejudice-free algorithm, we need to understand how these bias works so that we can reduce the loss that can result in their use.
One way to do this may be to develop devices that can detect these losses on margin – designed to indicate initial warning systems that when the decisions of the AI system have begun to distract from the ideal improperly. This will allow us to re -design our system, as a result of the unexpected results of these humoristics results.
Prejudice is an essential element of human intelligence. If we need these cognitive equipment to make sense from a universe, then to fully understand, we should embrace the trades required for their use at the age of AI.
The author is a partner in Tillgal and the author of ‘The Third Way: India’s Revolutionary Approach to Data Governance’. His X handle is @matthan.