startup-tips
Sign in
OpenR&D programAuto-collected, not reviewed

Influence Benchmarks for AI Systems

🇺🇸 United States·U.S. Department of War — DARPA(Government)
Funding
Needs verification
Deadline
2026.10.21
D-14
Official noticeApplyOverseas applicants not eligible ExportPDF

Overview

What you need to judge this in 30 seconds

SBIR · Phase: BOTH · Topic DPA26BZ06-DV026 · Solicitation 26.BZ

This topic seeks to develop a simulated market as a test environment to characterize the latent behavioral preferences of AI systems.As warfighters increasingly engage with AI systems, particularly agents that rely on large-language models (LLMs), concern has arisen that the systems may encourage cognitive behavior in users that impart hidden biases, impair judgement, and ultimately degrade warfighting capacity. For example, overreliance on AI-powered decision support tools may induce users to accept erroneous suggestions or change from correct decisions to incorrect decisions (Buçinca et al, 2021). LLM use may also induce novel cognitive biases (Alessa et al. 2025) and amplify delusional beliefs (Dohnány et al. 2025). Compounding the threat, deceptive strategies frequently emerge among interacting AI systems (Ying et al. 2026). Few tests of AI systems account for their adaption to dynamic data, which obfuscates such adaptive strategies. To detect and combat these risks, the DoW requires a universal approach to elicit, characterize, and compare the behavior of AI agents amid changing contexts (Li et al. 2026). Such a testbed shall rely only on queries and outputs of the subject AI system, rather than direct access to the model itself. Economic frameworks permit the measurement and comparison of decisions. As the basis of extensive prior research, models of auctions, markets, and other economic arenas provide a critical baseline of organic patterns of human behavior (e.g. Hausch 1986, Martinez-Saito 2019). Emerging open-source tools, such as Magentic Marketplace (Bansal et al. 2026) have shown promise in revealing behavioral variations in market-focused contexts. Furthermore, unlike existing assessments of AI risk, economic frameworks do not rely on a priori definitions of “harmful” or “helpful” traits (Vijayvargiya et al. 2026), and these testbeds allow for diverse social strategies such as deception and collaboration.

Category
R&D
Industry
AI & Data
Technology
AI / ML
Target stage
Needs verification
Project duration
Needs verification
Estimated preparation
Needs verification

Funding

Award size and how it is paid

Award range
Needs verification
Currency
USD
Total programme budget
Needs verification
Support type
Needs verification
Co-funding
Needs verification
Matching fund
Needs verification
Disbursement
Needs verification
Note
-

Eligibility

Can we actually apply?

Check whether we can applyEnter where you are incorporated, how old you are and how big — we compare it against this announcement and tell you what would unlock it. No sign-in needed.

SBIR/STTR 은 미국 중소기업만 지원할 수 있습니다(Small Business Act 법정 요건). • 계열사를 포함해 상시 종업원 500명 이하 • 미국 시민 또는 영주권자 1인 이상이 50%를 초과해 직접 소유·지배 • 미국 내 사업장을 두고 주로 미국 내에서 사업을 영위할 것 • 수행책임자(PI)의 주된 근무처가 신청 기업일 것 출처: https://www.sbir.gov/faq/eligibility-requirements

Company age
Needs verification
Employees
0명 ~ 500명
Revenue limits
Needs verification
Consortium
Needs verification

Location Requirements

Geography and legal-entity conditions

Primary country
🇺🇸 United States
Also eligible
None
Foreign companies
No
Local entity
Required
Location condition
미국 내 사업장을 두고 미국 시민·영주권자가 50%를 초과해 소유한 중소기업만 신청할 수 있습니다(법정 요건).

Required Documents

Required/optional · issuer · difficulty · validity · cautions

Document requirements were not captured (needs verification). Check the official announcement.

Application Process

How you apply

Application process not captured.

Evaluation

Review process and criteria

Evaluation process not captured.

Timeline

Announcement → intake → review → agreement → execution

Process steps were not captured.

Equity & Financial Terms

Equity, loans and contract conditions

Equity required
Needs verification
Loan
Non-dilutive grant
Duplicate funding
Needs verification
IP ownership
Needs verification
Deliverable ownership
Needs verification
Exclusivity
Needs verification
Right of first refusal
Needs verification
Audit & settlement
Needs verification

Risk Intelligence

Should we apply at all? — five dimensions plus an overall score (lower is safer)

No risk assessment yet. Re-analyse from Admin.

IP / Idea Protection

How much of your technology and idea you must disclose

No IP assessment yet.

AI Analysis

Pros · cons · difficulty · competition · attractiveness

Preparation difficultyNeeds verification

From paperwork and review stages

Competition (estimate)Needs verification

Heuristic from award size and type

AttractivenessNeeds verification

Amount, terms and IP combined

Overall riskNeeds verification

Weighted average of five dimensions

Pros
  • Needs verification
Cons
  • Needs verification
Cautions
  • Nothing flagged

Similar Programs

Comparable by type, country and technology

Source & Provenance

Every value carries its source URL and fetch time

Last fetched
2026.10.07
Human review
Not reviewed — check the official announcement
First seen
2026.10.07
Data status
Auto-collected, not reviewed
AI enrichment
Needs verification
Snapshot history
  • · 2h ago — 최초 수집 (9af45239)