What is Selection Bias ?

What is Selection Bias?

Selection bias happens when the group used to train a model does not reflect the whole population it wants to generalize. This bias can happen because of non-random sampling leaving out some groups, or people choosing themselves to participate. Selection bias makes models work well on the data they learned from but on real-world data. According to Elwert and Winship (2014), selection bias is a big risk to the accuracy of statistical and machine learning studies.

Why is Selection Bias Important?

It is important to deal with selection bias because:

• Generalizability: When models are taught using biased samples they might not work well with the entire population. Making sure the training data covers everyone helps create models that work well on various data sets.
• Fairness: Bias in choosing can cause unfair biased results in things like employment, loans, and justice. It is vital to handle this bias to make fair AI systems.
• Model Validity: Bias in selection harms the truth of machine learning models causing wrong guesses and outcomes. It is key to have a wide mix of examples for building trustworthy models.

What are the Benefits of Addressing Selection Bias?

In machine learning, dealing with selection bias is crucial to enhancing the models' ability to perform well under different conditions. Methods like dividing groups in studies and increasing data variety can reduce selection bias making the models stronger.Selection bias in NLP can cause language models to favor certain dialects or languages. Addressing this bias ensures that NLP tools are fair and work well in various language situations.General AI Projects: In general AI projects, reducing selection bias improves the trustworthiness and fairness of AI systems. This is vital in fields like healthcare where biased systems might give less effective treatment suggestions.

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How Alltius AI Enables Organizations to reduce selection bias?

Alltius' provides leading enterprise AI technology for enterprises and governments to harness and extract value from their current data using variety of technologies. Alltius' Gen AI platform enables companies to create, train, deploy and maintain AI assistants for sales, support agents and customers in a matter of a day. Alltius platform is based on 20+ years of experience at leading researchers at Wharton, Carnegie Mellon and University of California and excels in improving customer experience at scale using Gen AI assistants catered to customer's needs. Alltius' successful projects included but are not limited to Insurance(Assurance IQ), SaaS (Matchbook), Banks, Digital Lenders, Financial Services (AngelOne) and Industrial sector(Tacit).

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