… of bias present in the … bias in AI to ensure that these systems are fair and equitable for all
users. In the next sections, we will explore the sources, impacts, and mitigation strategies of bias …

… of fairness and bias in AI systems. By sharing this thorough … In this paper, we discuss the
impact of biased models on users … the cause of bias, mitigating them and promoting fairness in a …

… With the widespread use of artificial intelligence (AI) systems … can be taken to mitigate the
problem of bias in AI systems. … , we observe that biased algorithmic outcomes might impact user …

… , we survey recent technical approaches on bias and fairness in AI-… with legal implications
of data collection and bias definitions. … with a discussion on the legal issues of bias mitigation. …

… Strategies to mitigate the butterfly effect on AI fairness and bias Next, we discuss various
strategies to mitigate the Butterfly Effect on AI fairness and bias. These strategies encompass …

… implications, such as bias towards gender, ethnicity, and/or people with disabilities. There is
signiicant literature on approaches to mitigate bias and promote fairness, … an overview of the …

… We identified sources of bias in AI/ML, mitigation strategies for … bias categories, we identified
29 sources of potential bias, many of which can impact multiple steps, as well as mitigation …

… for one metric, Disparate Impact, before and after bias mitigation. To simplify interpretability,
… His main research areas are machine learning and data mining, artificial intelligence, data …

… review provides an in-depth summary of the algorithmic bias … , that is said to be the effect of
pre-existing bias. The saying, ‘… the fairness metrics they consider and the fairness mitigation …

… additional fairness metrics, unfairness mitigation algorithms, and … Artificial intelligence (AI)
has transformed modern life via … , such as societal biases. AI systems can result in a variety of …