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Find similar grantsInfluence Benchmarks for AI Systems (DPA26BZ06-DV026) is sponsored by DARPA. This DARPA SBIR topic seeks to develop new approaches for AI evaluation by focusing on behavioral effects measurement on human populations through a simulated proxy, rather than defining and testing for specific 'bad behaviors'.
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Or search similar grants →According to the current listing, eligibility includes: Small businesses. The program is part of the FY26 Department of War SBIR Broad Agency Announcement. Confirm the full requirements in the official notice before applying.
The current listing shows $1,800,000. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for Influence Benchmarks for AI Systems (DPA26BZ06-DV026) are due October 21, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
Influence Benchmarks for AI Systems (DPA26BZ06-DV026) is funded by DARPA. Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
DPA26BZ06-DV023 is a Direct-to-Phase-II SBIR paying $700,000 over 18 months plus a $500,000 option. The physics demands 256x more transmit power than the systems that qualify you to compete, and DARPA will not accept modeling alone as proof. Here is the eligibility wall, the five engineering problems, and who can realistically win it before the October 21 close.
Read articleRelease 6's SBIR topics got the attention. Its three STTR topics — SHIELDER, fuel-flexible electric propulsion, and hypersonic wind tunnel noise diagnostics — are all Direct-to-Phase-II, all require a research institution to perform at least 30 percent of the work, and all close October 21, 2026. The feasibility gates are the real filter.
Read articleDPA26BZ06-DV026 offers $300,000 at Phase I or $1,800,000 as a single Direct-to-Phase-II tranche with no options. The deliverable is a simulated auction market that measures whether AI agents deceive, collude, or manipulate the humans they serve — measured entirely from the outside. Here is the 90% efficiency gate, the team composition most bidders will get wrong, and why this topic sits in DARPA's biology office.
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