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+(,121/,1(Citation: Over Ten; Jules Polonetsky, Taming the Golem: Challenges of Ethical Algorithmic Decision-making, 19 N.C. J.L. & Tech. 125 (2017) Content downloaded/printed from Havoline Tue Nov
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01
Identify potential ethical issues that may arise in the algorithm design process.
02
Consider the possible impacts of the algorithm on different groups of people.
03
Work collaboratively with diverse stakeholders to gather perspectives on ethical considerations.
04
Document and communicate the ethical decision-making process throughout the development of the algorithm.
05
Regularly review and update the ethical guidelines to ensure alignment with evolving social norms and values.

Who needs challenges of ethical algorithmic?

01
Developers and engineers working on algorithm design projects.
02
Companies and organizations implementing algorithmic solutions in their products or services.
03
Regulatory bodies and policymakers overseeing the use of algorithms in various industries.
04
Advocacy groups and researchers focused on algorithmic transparency and accountability.
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The challenges of ethical algorithmic refer to issues arising from biases, transparency, and accountability in algorithms that impact decision-making in various sectors.
Organizations and individuals that deploy or are affected by algorithmic systems are typically required to file challenges to address ethical concerns.
Challenges can be filled out by submitting a formal complaint or report outlining the ethical concerns, evidence of bias, and proposed recommendations for improvement.
The purpose is to ensure fairness, accountability, and transparency in algorithmic decision-making processes and to mitigate any unethical practices.
Reports should include specific instances of bias, the context of the algorithm's use, affected parties, and any supporting data or documentation.
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