Source assessmentContext only
Unintended Consequences of Biased Robotic and Artificial Intelligence Systems
Unintended bias in robotic and AI systemsIndustry
Assessment outcome
total 2/6 (actionability 1 + authority 1 + currency 0)
Total2/6
Actionability1/2
Authority1/2
Currency0/2
Authorship & scope
Attribution (G4 evidence)
No evidence recorded for this source.
Issuer authority (evidence)
No evidence recorded for this source.
Issuers, who it governs, legal force and content are on the full record.
Eligibility gates
G1 · Retrievablepass
Passed in screening.
G2 · AI nexuspass
Passed in screening.
G3 · Governance nexuspass
Passed in screening.
G4 · Attributablepass
Passed in screening.
G5 · In forcepass
Passed in screening.
Scored criteria
Actionability
1/2No rationale recorded.
From a technical standpoint, research on algorithmic fairness proposes formal methods to mitigate the risk of bias.
Authority
1/2No rationale recorded.
ETHICAL, LEGAL, AND SOCIETAL ISSUES 11 SEPTEMBER 2019 • IEEE ROBOTICS & AUTOMATION MAGAZINE
Currency
0/2No rationale recorded.
Classification
Coverage topicUnintended bias in robotic and AI systems
PerspectiveIndustry
Lifecycle stageN/A cross-cutting
Layerboth
GranularityNot recorded