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ASASKATSpring 2004Science, Knowledge, and Technology Special Interest Articles:From the Section Chair From the ChairMichael Lynch, Cornell University Spotlight: TeachingFirst, I would like to thank
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01
Identify the specific algorithmic systems that need to be governed.
02
Define the goals and values that should guide the governance of these algorithmic systems.
03
Establish clear guidelines and rules for how these algorithmic systems should be developed, implemented, and maintained.
04
Ensure transparency and accountability in the decision-making processes related to these algorithmic systems.
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Regularly monitor and evaluate the impact of these algorithmic systems on individuals and society as a whole.
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Continuously update and adapt the governance framework for algorithmic systems based on new developments and feedback.

Who needs governing algorithmic systems with?

01
Government agencies that use algorithmic systems to make important decisions affecting citizens.
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Businesses that rely on algorithmic systems for customer service, product recommendations, or other functions.
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Non-profit organizations that use algorithms for social good initiatives.
04
Researchers and developers working on artificial intelligence and machine learning projects.
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Individuals who are affected by the decisions made by algorithmic systems and want to ensure fair and ethical practices.
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Governing algorithmic systems is primarily concerned with the regulations and guidelines that oversee the development, deployment, and operation of algorithms to ensure they are ethical, transparent, and accountable.
Organizations and companies that develop or use algorithmic systems are generally required to file governing algorithmic systems, especially if they impact individual rights or public safety.
Filling out governing algorithmic systems typically involves providing detailed documentation about the algorithm's purpose, functionality, data usage, and compliance with regulatory standards.
The purpose of governing algorithmic systems is to ensure that these systems operate in a manner that is fair, non-discriminatory, transparent, and aligned with legal and ethical standards.
The information that must be reported includes the algorithm's objectives, data sources, decision-making processes, impact assessments, and any potential biases or risks associated with its use.
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