You ask ChatGPT to help write a job posting, and it suggests masculine-coded language that might discourage women from applying. You use an AI resume screener, and it mysteriously favors candidates from certain universities. Your photo editing app au...
Introduction: AI systems nowadays enable us to see, understand and interact with the world in ways that were unimaginable since a decade ago, and these systems are developing in an extraordinary pace yet despite these advancements AI is not infallibl...
This tutorial guides Clarity and Stacks developers on building a reputation reward system using Stacks' semi-fungible token (SFT) standard, with insights from BigMarket. It covers implementing the SFT standard, creating soulbound tokens, and integrat...
In our last article, we delved into machine learning fairness and why it matters. If you missed that article, please see [insert link]. Having established the need for ensuring fairness in the models we develop, the next natural question is: How do w...
Why Machine Learning Fairness Matters In recent years, machine learning has become increasingly embedded in decision-making processes across various sectors. These systems are now used in fields such as healthcare, where they help make predictions ab...
Introduction Machine learning (ML) has ushered in a new era of technological advancement, influencing countless aspects of daily life. From self-driving cars to personalized online shopping experiences, the power of machine learning lies in its abili...
What is Fairness in Blockchain? Fairness in blockchain refers to the principle that all participants in a blockchain-based system should have an equal opportunity to participate in the transaction processing, consensus process, governance, resource a...
Artificial Intelligence (AI) has witnessed tremendous growth in recent years, and with it, the research in AI ethics has expanded in parallel. AI ethics is a broad field that encompasses a wide range of topics, including bias and fairness, transparen...
As artificial intelligence (AI) becomes increasingly integrated into various industries and applications, there is a growing concern about the ethical implications of these technologies. One of the significant challenges in AI is the potential for bi...
Hello everyone, A crucial aspect of being a data analyst is to ensure that the analysis you perform is fair and not biased. Your insights may be right for a particular problem, but they may be biased. As an example, you collected and analyzed evening...
