FAccT Topic Selection
Decide the venue before drafting. ACM FAccT — the Conference on Fairness, Accountability, and
Transparency — is the flagship interdisciplinary responsible-AI venue. Its reviewer pool spans
computer science, law, the social sciences, the humanities, and policy, and its defining demand is
that fairness, accountability, or transparency (FAccT) is a first-class contribution, not a
fairness paragraph appended to a systems result. A technically strong paper whose real center is a
new model, a new interaction technique, or a doctrinal legal argument — with FAccT concerns merely
gestured at — is respected and then rejected as out of scope.
The routing question that matters most
The decisive question is rarely "does this touch fairness/AI?" but "is a fairness, accountability,
or transparency question the actual contribution, and is the sociotechnical framing native?" FAccT
uniquely rewards work that takes the social and the technical as inseparable. A paper that would
lose nothing if you deleted the equity framing belongs elsewhere; a paper whose whole point is who
is harmed, who is accountable, or what can be made legible belongs here.
Sibling-venue routing table
| Signal in your project |
Better home |
Why |
| Fairness/accountability/transparency is the contribution; social + technical are entangled |
ACM FAccT |
The interdisciplinary responsible-AI flagship; FAccT concerns are first-class |
| A new model/algorithm whose fairness angle is a secondary evaluation |
NeurIPS / ICML / ICLR |
ML flagships; a fairness metric alone does not make it FAccT |
| A new interaction technique or system; the study is about use more than justice/power |
CHI / CSCW |
HCI flagships; FAccT wants the accountability/harm question central |
| Primarily doctrinal legal analysis or regulatory design for a legal readership |
Law reviews / policy venues |
FAccT welcomes law, but wants cross-disciplinary reach, not doctrine alone |
| AI-ethics argument aimed at a philosophy/ethics readership |
AIES and adjacent |
Overlapping sibling; FAccT leans empirical + sociotechnical + policy-facing |
| Critical/qualitative/participatory engagement better as a session than a paper |
FAccT CRAFT track |
Participatory and world-building formats live in CRAFT, not the paper track |
Contribution shapes FAccT rewards
FAccT is genuinely pluralistic — the following are all native, and a good program mixes them:
- Algorithmic fairness / interpretability method — a new measure, algorithm, or auditing
technique for bias, recourse, explainability, or transparency, evaluated on real data (the
fairness-metrics lineage).
- Empirical audit — measuring disparate performance or harm in a deployed or commercial system
across subgroups (the Gender Shades lineage).
- Documentation / accountability infrastructure — datasheets, model cards, data statements,
audit frameworks, and impact-assessment tooling that change how the field builds and reports (the
Model Cards / Datasheets lineage).
- Critical / conceptual / position work — an argument that reframes what the field takes for
granted about harm, power, or measurement (the Stochastic Parrots lineage).
- Qualitative / sociotechnical study — interviews, ethnography, or a case study of how a system
affects an affected community or institution, with sound method.
- Law & policy — legal, regulatory, or governance analysis that engages the technical substrate
and reaches a mixed audience.
The two sharpening tests
- Delete-the-equity test: remove every sentence about fairness, accountability, transparency,
harm, or power. If a complete, publishable contribution remains, the FAccT framing is decoration
— route to the ML/HCI/legal home of the surviving core. If nothing coherent remains without it,
FAccT is right.
- Mixed-reviewer test: imagine your paper read by a computer scientist, a lawyer, and a
qualitative social scientist at once. FAccT-shaped work gives each of them something to hold and
survives all three; a paper that only one of them can evaluate is usually a sibling-venue paper
wearing a FAccT title.
Interdisciplinary rigor, not interdisciplinary gesture
Fit is necessary but not sufficient. FAccT reviewers penalize thin interdisciplinarity: a CS
paper that cites one sociology book without method, or a critical paper that name-drops an algorithm
it never engages. Whichever lane you sit in, meet that lane's standard of rigor — statistical
care and honest baselines for a method/audit paper; coding schemes, saturation, and reflexivity for
a qualitative paper; doctrinal precision for a legal paper — and then connect it across the divide.
Cheap reconnaissance before committing
[Scope] scan the last two FAccT programs (facctconference.org, ACM DL, dblp db/conf/fat) for
your topic -> several recent papers = a reviewer pool exists; none = opening or mismatch
[Focus areas] can you name a primary + secondary FAccT focus area (algorithm development; data &
algorithm evaluation; applications; human factors; privacy & security; law; policy;
critical/humanistic/social-scientific) that genuinely fit? -> if not, reconsider the venue
[Audience] would a lawyer AND a computer scientist both find a contribution? -> that dual pull is
the FAccT signature; a single-discipline pull points to a sibling venue
Decision procedure
[Who is affected] whose fairness/accountability/transparency changes if the claim holds?
[Contribution type] method / audit / documentation-infra / critical-conceptual / qualitative / law-policy
[First-class check] delete-the-equity test -> does a contribution survive without the FAccT framing?
[Interdisciplinary check] mixed-reviewer test -> do a CS + a law + a social-science reader each hold something?
[Format check] is it a paper, or a participatory session? -> paper track vs CRAFT
[Verdict] FAccT paper track / FAccT CRAFT / sibling venue (NeurIPS/ICML/CHI/AIES/law), one-line reason
Run this before the writing skills; a wrong venue decision wastes every later step. When the verdict
is FAccT, continue with facct-workflow for the calendar and facct-writing-style for the paper
shape.
Source: brycewang-stanford/Awesome-Journal-Skills → FAccT-Skills/skills/facct-topic-selection/SKILL.md
1---2name: facct-topic-selection3description: Use when deciding whether a responsible-AI project belongs at ACM FAccT or should route to a pure-ML venue (NeurIPS/ICML/ICLR), an HCI venue (CHI/CSCW), a law/policy venue, or an AI-ethics venue (AIES), by testing whether fairness, accountability, or transparency is a first-class contribution and whether the interdisciplinary framing is native rather than bolted on.4---567# FAccT Topic Selection89Decide the venue before drafting. **ACM FAccT — the Conference on Fairness, Accountability, and10Transparency** — is the flagship *interdisciplinary* responsible-AI venue. Its reviewer pool spans11computer science, law, the social sciences, the humanities, and policy, and its defining demand is12that **fairness, accountability, or transparency (FAccT) is a first-class contribution**, not a13fairness paragraph appended to a systems result. A technically strong paper whose real center is a14new model, a new interaction technique, or a doctrinal legal argument — with FAccT concerns merely15gestured at — is respected and then rejected as out of scope.1617## The routing question that matters most1819The decisive question is rarely "does this touch fairness/AI?" but **"is a fairness, accountability,20or transparency question the actual contribution, and is the sociotechnical framing native?"** FAccT21uniquely rewards work that takes the *social* and the *technical* as inseparable. A paper that would22lose nothing if you deleted the equity framing belongs elsewhere; a paper whose whole point is who23is harmed, who is accountable, or what can be made legible belongs here.2425## Sibling-venue routing table2627| Signal in your project | Better home | Why |28|---|---|---|29| Fairness/accountability/transparency is the contribution; social + technical are entangled | **ACM FAccT** | The interdisciplinary responsible-AI flagship; FAccT concerns are first-class |30| A new model/algorithm whose fairness angle is a secondary evaluation | **NeurIPS / ICML / ICLR** | ML flagships; a fairness metric alone does not make it FAccT |31| A new interaction technique or system; the study is about *use* more than *justice/power* | **CHI / CSCW** | HCI flagships; FAccT wants the accountability/harm question central |32| Primarily doctrinal legal analysis or regulatory design for a legal readership | **Law reviews / policy venues** | FAccT welcomes law, but wants cross-disciplinary reach, not doctrine alone |33| AI-ethics argument aimed at a philosophy/ethics readership | **AIES** and adjacent | Overlapping sibling; FAccT leans empirical + sociotechnical + policy-facing |34| Critical/qualitative/participatory engagement better as a session than a paper | **FAccT CRAFT track** | Participatory and world-building formats live in CRAFT, not the paper track |3536## Contribution shapes FAccT rewards3738FAccT is genuinely pluralistic — the following are *all* native, and a good program mixes them:3940- **Algorithmic fairness / interpretability method** — a new measure, algorithm, or auditing41 technique for bias, recourse, explainability, or transparency, evaluated on real data (the42 fairness-metrics lineage).43- **Empirical audit** — measuring disparate performance or harm in a deployed or commercial system44 across subgroups (the *Gender Shades* lineage).45- **Documentation / accountability infrastructure** — datasheets, model cards, data statements,46 audit frameworks, and impact-assessment tooling that change how the field builds and reports (the47 *Model Cards* / *Datasheets* lineage).48- **Critical / conceptual / position work** — an argument that reframes what the field takes for49 granted about harm, power, or measurement (the *Stochastic Parrots* lineage).50- **Qualitative / sociotechnical study** — interviews, ethnography, or a case study of how a system51 affects an affected community or institution, with sound method.52- **Law & policy** — legal, regulatory, or governance analysis that engages the technical substrate53 and reaches a mixed audience.5455## The two sharpening tests5657- **Delete-the-equity test:** remove every sentence about fairness, accountability, transparency,58 harm, or power. If a complete, publishable contribution remains, the FAccT framing is decoration59 — route to the ML/HCI/legal home of the surviving core. If nothing coherent remains without it,60 FAccT is right.61- **Mixed-reviewer test:** imagine your paper read by a computer scientist, a lawyer, and a62 qualitative social scientist at once. FAccT-shaped work gives each of them something to hold and63 survives all three; a paper that only one of them can evaluate is usually a sibling-venue paper64 wearing a FAccT title.6566## Interdisciplinary rigor, not interdisciplinary gesture6768Fit is necessary but not sufficient. FAccT reviewers penalize *thin* interdisciplinarity: a CS69paper that cites one sociology book without method, or a critical paper that name-drops an algorithm70it never engages. Whichever lane you sit in, meet **that lane's** standard of rigor — statistical71care and honest baselines for a method/audit paper; coding schemes, saturation, and reflexivity for72a qualitative paper; doctrinal precision for a legal paper — and then connect it across the divide.7374## Cheap reconnaissance before committing7576```text77[Scope] scan the last two FAccT programs (facctconference.org, ACM DL, dblp db/conf/fat) for78 your topic -> several recent papers = a reviewer pool exists; none = opening or mismatch79[Focus areas] can you name a primary + secondary FAccT focus area (algorithm development; data &80 algorithm evaluation; applications; human factors; privacy & security; law; policy;81 critical/humanistic/social-scientific) that genuinely fit? -> if not, reconsider the venue82[Audience] would a lawyer AND a computer scientist both find a contribution? -> that dual pull is83 the FAccT signature; a single-discipline pull points to a sibling venue84```8586## Decision procedure8788```text89[Who is affected] whose fairness/accountability/transparency changes if the claim holds?90[Contribution type] method / audit / documentation-infra / critical-conceptual / qualitative / law-policy91[First-class check] delete-the-equity test -> does a contribution survive without the FAccT framing?92[Interdisciplinary check] mixed-reviewer test -> do a CS + a law + a social-science reader each hold something?93[Format check] is it a paper, or a participatory session? -> paper track vs CRAFT94[Verdict] FAccT paper track / FAccT CRAFT / sibling venue (NeurIPS/ICML/CHI/AIES/law), one-line reason95```9697Run this before the writing skills; a wrong venue decision wastes every later step. When the verdict98is FAccT, continue with `facct-workflow` for the calendar and `facct-writing-style` for the paper99shape.100101---102103**Source:** [`brycewang-stanford/Awesome-Journal-Skills`](https://github.com/brycewang-stanford/Awesome-Journal-Skills) → `FAccT-Skills/skills/facct-topic-selection/SKILL.md`