Philips Patent - AI Reliability Prediction
Summary
The European Patent Office published patent application EP4639418A1 by Koninklijke Philips N.V. titled 'Predicting the Reliability of Output Data.' The invention covers methods and systems for predicting the reliability of AI-generated output data. The application designates all EU member states plus Switzerland, Norway, and other European countries.
What changed
EPO published patent application EP4639418A1 filed by Koninklijke Philips N.V. for 'Predicting the Reliability of Output Data.' The patent relates to AI reliability prediction methods and is classified under multiple IPC codes including G06N 3/084 (neural networks), G06N 5/01 (knowledge processing), G06N 7/01 (probabilistic models), and G06N 20/10/20 (machine learning). Inventors include Van Leeuwen, Vlutters, and Saeed. The patent application was published March 25, 2026.
Patent publications are informational filings that do not create immediate regulatory obligations. Companies developing AI reliability prediction systems should review the published patent claims to assess potential licensing needs or freedom-to-operate considerations. Patent protection, if granted, extends 20 years from the original filing date.
Source document (simplified)
PREDICTING THE RELIABILITY OF OUTPUT DATA
Publication EP4639418A1 Kind: A1 Mar 25, 2026
Applicants
Koninklijke Philips N.V.
Inventors
VAN LEEUWEN, Marinus Bastiaan, VLUTTERS, Ruud, SAEED, Aaqib
IPC Classifications
G06N 3/084 20230101AFI20240628BHEP G06N 5/01 20230101ALI20240628BHEP G06N 7/01 20230101ALI20240628BHEP G06N 20/10 20190101ALI20240628BHEP G06N 20/20 20190101ALI20240628BHEP
Designated States
AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LI, LT, LU, LV, MC, ME, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR
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