[GS11] Balancing autonomy and oversight in reliable agentic AI through adaptive human interaction architectures
Kunci Stabil: GS11 | Sitasi BibTeX: 1
Ringkasan Metadata
- Penulis & Tahun: Madhvesh Kumar, Deepika Singh, 2026
- Venue & Tier: Discover Artificial Intelligence (Springer) Vol 6
- DOI / URL: 10.1007/s44163-026-01373-2
- Skor Kualitas (QA Score): - (QA korpus baru OPEN, belum dinilai)
- Peran Studi: QGS (penutup lubang I-gate)
- Tingkat Ekstraksi:
metadata-calibration - Cakupan (Scope): Enterprise code generation & workflow automation (5.000 tugas terstruktur).
1. Masalah Utama (Core Problem)
Adaptive human interaction: kapan agen jalan mandiri vs eskalasi ke operator.
2. Arsitektur yang Diajukan (Architecture)
Supervisor-Worker multi-agent + Dynamic Intervention Framework (Contextual Confidence Score).
3. Mekanisme Koordinasi & Kontrol (Coordination)
Supervisor menilai tiap langkah worker; skor > ambang atas auto-approve, zona tengah post-hoc audit flag, di bawah ambang bawah halt-eskalasi ke operator manusia.
4. Foundation Model & Infrastruktur (FM)
LLM umum + DPO feedback.
5. Tolok Ukur & Dataset (Benchmark)
5.000 tugas terstruktur (codegen + finance/services).
6. Artefak & Kode Sumber (Artifact)
- (UNDOCUMENTED).
7. Metrik Primer Eksak (Primary exact)
Intervensi 21.0%->11.5% + success 98.2% (abstrak Scopus; PDF paywalled, BELUM jangkar halaman).
8. Metrik Sekunder (Secondary)
Hanya 14.5% langkah keputusan butuh intervensi.
9. Pola Kegagalan (Failure Modes)
- (UNDOCUMENTED).
10. Ancaman Validitas (Threats)
0 sitasi (umur 3,5 bln); jurnal AI umum, bukan flagship SE.
11. Jejak Bukti & Provenansi (Provenance)
Bukti Verifikasi: EVIDENCED-FACT (CrossRef resolve 2026-09-12; disjoint-47; Scopus-769 HIT EID 2-s2.0-105045578545).
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2026 Madhvesh Kumar, Deepika Singh. Balancing autonomy and oversight in reliable agentic AI through adaptive human interaction architectures. 2026. Venue: Discover Artificial Intelligence (Springer) Vol 6, DOI: 10.1007/s44163-026-01373-2, Role: QGS (penutup lubang I-gate). ↩