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ALGORITHMIC IMPACT ASSESSMENTS:A PRACTICAL FRAMEWORK FOR PUBLIC AGENCY ACCOUNTABILITY Dillon Tasman, Jason Schultz, Kate Crawford, Meredith Whittaker APRIL 2018TABLE OF CONTENTSExecutive Summary3I.

How to fill out algorithmic impact assessments

How to fill out algorithmic impact assessments

1. To fill out algorithmic impact assessments, you can follow these steps:
2. Understand the purpose of the assessment: Familiarize yourself with why you are conducting the assessment and what its objectives are.
3. Gather relevant information: Collect all necessary data and information about the algorithm or system being assessed, including its design, inputs, and outputs.
4. Identify potential impacts: Analyze and identify the possible positive and negative impacts that the algorithm or system might have on different stakeholders, such as users, employees, or the society as a whole.
5. Assess severity and likelihood: Evaluate the severity and likelihood of each identified impact to prioritize them for further analysis.
6. Mitigation strategies: Develop strategies or mechanisms to mitigate the negative impacts while maximizing the positive ones.
7. Document findings: Document all the findings, analysis, and decisions made during the assessment process.
8. Review and iterate: Regularly review and iterate the algorithmic impact assessment to incorporate new insights or changes in the algorithm or system being assessed.
9. Seek input from stakeholders: Involve relevant stakeholders, such as users, experts, or community representatives, to ensure a comprehensive assessment.
10. Communicate the results: Share the results of the assessment with stakeholders and make it accessible to the public if necessary.
11. Periodic reassessment: Schedule periodic reassessment of the algorithmic impact to ensure ongoing evaluation and improvement of the system's effects.

Who needs algorithmic impact assessments?

1. Algorithmic impact assessments are needed by various entities and organizations involved in the development, deployment, or regulation of algorithms and automated decision-making systems. This includes:
2. - Tech companies and startups: They need algorithmic impact assessments to evaluate the potential effects of their algorithms on users, society, and ethical implications.
3. - Government agencies: To ensure accountability, transparency, and fairness in automated decision-making systems used in public services.
4. - Non-profit organizations: In order to advocate for responsible algorithmic practices and identify any potential biases or harm caused by algorithms.
5. - Researchers: To study and understand the impact of algorithms on various domains and propose recommendations for improvement.
6. - Regulatory bodies: They require algorithmic impact assessments to create regulations and guidelines for governing algorithmic systems in different industries.
7. - Consumer protection organizations: To examine and address any adverse effects of algorithms on consumers' rights and privacy.
8. - Legal professionals: To litigate or defend cases involving algorithmic bias, discrimination, or other harmful impacts.
9. - User communities: To ensure algorithms are designed and deployed in a way that respects their rights, values, and interests.
10. - Data scientists and algorithm developers: To proactively assess the potential ethical or social consequences of their algorithms and mitigate any negative impacts.

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What is algorithmic impact assessments?

Algorithmic impact assessments are evaluations carried out to analyze the potential effects of algorithms on various aspects, such as society, economy, or individual rights.

Who is required to file algorithmic impact assessments?

Organizations or entities that develop and deploy algorithms in their operations are required to file algorithmic impact assessments.

How to fill out algorithmic impact assessments?

Algorithmic impact assessments can be filled out by gathering data on the algorithm's design, purpose, potential risks, and mitigation measures, and submitting this information to the relevant authority.

What is the purpose of algorithmic impact assessments?

The purpose of algorithmic impact assessments is to understand and mitigate any negative impacts that algorithms may have on individuals, society, or other stakeholders.

What information must be reported on algorithmic impact assessments?

Information such as the algorithm's functionality, data sources, potential biases, intended outcomes, and risk management strategies must be reported on algorithmic impact assessments.