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Artificial intelligence · Practitioner

Artificial intelligence: Planning and control

A promise of human oversight is incomplete if the reviewer cannot recognise uncertainty, inspect the relevant evidence or change the outcome. Data access and workflow ownership may also be assumed, even though they determine whether the proposed use can be controlled. Working output: A human-review decision map linking the output, supporting evidence, reviewer authority and the action that prevents an unsupported result from becoming an accepted decision.

35 min planned learning scope5 lesson sections5 knowledge questions
Artificial intelligence: Planning and controlOrganise the case inputs for the human-review decision map by confirmed status and open questions about “the output”. · Create the specific working output with concrete entries: A human-review decision map linking the output, supporting evidence, reviewer authority and the action that prevents an unsupported result from becoming an accepted decision. · Check the example calculation behind the human-review decision map and assign the next decision about “the output”.LEARNING / IN PRACTICEArtificial intelligence: Planningand controlOrganise the caseinputs for the…Create the specificworking output with…Check the examplecalculation behind the…Editorial study / Artificial intelligence: Planning and control
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WHAT YOU WILL TAKE AWAY

After this module you can …

  • Organise the case inputs for the human-review decision map by confirmed status and open questions about “the output”.
  • Create the specific working output with concrete entries: A human-review decision map linking the output, supporting evidence, reviewer authority and the action that prevents an unsupported result from becoming an accepted decision.
  • Check the example calculation behind the human-review decision map and assign the next decision about “the output”.

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