W4312652431 Working papers AI × management and organizations

Why Providing Humans with Interpretable Algorithms May, Counterintuitively, Lead to Lower Decision-Making Performance

Timothy DeStefano · Katherine Kellogg · Michael Menietti · Luca Vendraminelli

Also recorded as: MIT Sloan Research Paper 6797 (2022) · doi:10.2139/ssrn.4246077 · ssrn:4246077

ssrn abstract page · 2022-10-13

Recorded claims
2
coded from the inspected source
Evidence classes
1
ssrn-abstract-page
Recorded limitations
2
stated, never hidden

From the hash-bound evidence releases

Recorded claims

Each claim states what the inspected source says, at the recorded location—bounded by its scope and graded by its confidence. Nothing here is a synthesis across works.

In a multi-method field study at a large multinational fashion company, employees used interpretable or uninterpretable algorithms to decide how many products to send to stores; under high perceived uncertainty, use of the uninterpretable model was associated with greater recommendation acceptance and task performance than use of a similarly performing interpretable model.

confidence: moderate ssrn-abstract-page apw-e1-ssrn-backfill

Scope: Universe: employees at one multinational fashion organization; unit: employee product-allocation decision; period and quantitative field-experiment denominator: not displayed; no numerical effect is asserted.

Follow-up evidence comprised 31 interviews with 14 employees—two algorithm developers, two managers, and ten decision-makers—and supports proposed mechanisms of overconfident troubleshooting and social proof around algorithm acceptance.

confidence: moderate ssrn-abstract-page apw-e1-ssrn-backfill

Scope: Universe and denominator: 31 interviews with 14 employees (2 developers, 2 managers, 10 decision-makers); unit: interview account; period: not displayed.

Structured relationships

In-corpus citations

Only source-supplied cites relationships whose two endpoints are admitted are shown. Invocation evidence remains a separate relationship.

Cites (0)

No in-corpus outgoing citation is available in the current enrichment coverage.

Cited by (1)

Boundaries

Limitations & independence

Recorded at coding time, carried with the work forever. A claim without its limits is not evidence.

Recorded limitations

  • Abstract-level evidence only; full text was not inspected.
  • The abstract does not display the quantitative experiment's sample, allocation, outcome magnitudes, study period, or uncertainty; one fashion organization limits generalization, and the reported performance relationship is described as an association.

Source independence

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