Remove Personal Bias– Personal preferences influence the quality of respondents’ information. It impacts the interpretation of data received. In the case of quantitative data, which is concrete, it eliminates any scope for personal bias, lending credibility to the data. Precise Outcome– Quantifying ...
Romeo has a bachelor's degree in biological engineering from Cornell University. He geeks out on minimizing personal debt and helping others do the same through people-first content. Read Full Bio» sources Congress.gov. "H.R. 4173 - Dodd-Frank Wall Street Reform and Consumer Protection Act...
Explainability, or the ability to understand how an AI system makes decisions, is a growing area of interest in AI research. Lack of explainability presents a potential stumbling block to using AI in industries with strictregulatory compliancerequirements. For example, fair lending laws require U.S...
Concerns aboutAI ethics, fairness and bias; trust in AI models; and AI benefits and value estimations remain the top three barriers to its implementation, Sindhu said. In many respects, AI is becoming foundational to the success of the bank itself. ...
repeatable, based on real information, and use statistics to identify and organize what matters most, to make the prediction accurate. Predictive models are what we use in predictive analytics because they’re much better than human “gut” predictions, which are subject to personal bias and human...
We have a learning library full of helpful resources for personal development including articles, TED talks and much more on our online knowledge management platform, Thrive! What types of learning can you expect? We will ensure that your learning is geared around your needs and will cover '...
Bias is a complex problem in machine learning projects. We explore the nuances, how it’s caused, and tips to address it using real-world examples.
Bias in hiring & recruiting practices can result in hiring only certain candidates (or certain types of candidates). Bias in the financial lending field can limit financial access to only certain groups. Inaccurate results. If the accuracy of the trained AI model is low, it can produce inaccura...
ECOA is an important federal law promoting fair lending practices. It bars lender discrimination, and guards against bias related to race, religion, national origin, gender, marital status, age, public assistance eligibility, or consumer protection rights. ...
One of the biggest obstacles facing policymakers is deciding how much direct involvement the government should have in the economy and individuals' economic lives. Indeed, there have been various degrees of interference by the government over the history of the United States. For the most part, it...