aaai-topic-selection

1# AAAI Topic Selection
2 
3Use this while the project is still movable. AAAI is broad across artificial intelligence, so a
4strong submission should make an AI contribution that is intelligible beyond a narrow subfield.
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6## Strong AAAI signals
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8- Clear AI problem and contribution: method, theory, system, benchmark, dataset, evaluation, social
9  impact, alignment, human-AI interaction, planning, reasoning, learning, NLP, vision, robotics, or
10  knowledge representation.
11- Evidence that supports a general AI claim, not only a local application result.
12- Responsible treatment of ethics, safety, privacy, fairness, social impact, or misuse when the
13  paper touches those areas.
14- Reproducibility path strong enough for checklist scrutiny.
15- Narrative clear enough for Phase 1 reviewers from adjacent AI areas.
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17## Weak AAAI signals
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19- Pure application deployment with little AI insight.
20- Benchmark bump without mechanism, analysis, or robust comparison.
21- Closed system with no reviewable evidence.
22- Paper better framed as statistics, NLP, vision, HCI, robotics, or systems for a specialist venue.
23- Policy-sensitive claims with thin ethics or stakeholder analysis.
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25## Routing logic
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27- Prefer IJCAI for broad AI work with an international AI community emphasis.
28- Prefer NeurIPS, ICML, or ICLR for stronger ML method/theory or representation-learning framing.
29- Prefer AISTATS or UAI for statistics, uncertainty, causal, or probabilistic emphasis.
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