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Crowdsourcing Perceptions of Fair Predictors for Machine Learning: A Recidivism Case Study NIELS VAN TERKEL, University College London, UK JORGE GONÇALVES, The University of Melbourne, Australia DANUTA
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To fill out investigating and mitigating biases, follow these steps:
02
Start by identifying the types of biases that may be present in the context you are investigating.
03
Conduct thorough research and gather relevant data to support your investigation.
04
Create a structured framework or checklist to document your findings and observations.
05
Analyze the collected data to identify any biased patterns or trends.
06
Determine the possible causes and reasons for these biases.
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Devise strategies and solutions to mitigate the identified biases.
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Implement the recommended solutions and monitor their effectiveness.
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Continuously evaluate and reassess the impact of the implemented measures.
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Document your investigation process and outcomes for future reference.
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Share your findings and recommendations with relevant stakeholders to promote awareness and foster a bias-free environment.

Who needs investigating and mitigating biases?

01
Investigating and mitigating biases is essential for anyone who wants to ensure fairness, objectivity, and inclusivity in decision-making processes.
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This includes but is not limited to:
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- Organizations and businesses to prevent biased hiring practices, discrimination, and unfair treatment of employees or customers.
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- Researchers and academics to maintain the integrity of their studies and avoid biased conclusions.
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- Policymakers and legislators to create unbiased laws and regulations that serve all members of society.
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- Social activists and advocates for social justice to identify and address systemic biases.
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- Individuals who strive for personal growth and want to challenge and overcome their own biases.
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Investigating and mitigating biases refers to the process of identifying, analyzing, and reducing the influence of unfair or prejudiced assumptions in decision-making and practices.
Organizations and individuals that are subject to regulations regarding equity and fairness in their operations, often including employers, educational institutions, and governmental bodies.
Filling out the investigation and mitigation processes typically involves gathering data, analyzing potential biases, documenting findings, and outlining steps taken to address identified biases.
The purpose is to ensure fairness, promote equity, and enhance decision-making processes by eliminating unfair treatments and discrimination.
Reports should include data analysis results, identified biases, actions taken to mitigate them, and outcomes of those actions.
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