Patent application EP18213198A (EP), filed 2018-12-17
Publication number: EP3522078A1
Title: EXPLAINABLE ARTIFICIAL INTELLIGENCE
Abstract: Examples of artificial intelligence-based reasoning explanation are described. In an example implementation, a knowledge model having a plurality of ontologies and a plurality of inferencing rules is generated. Once the knowledge model is generated, based on a real-world problem, a knowledge model from amongst various knowledge models is selected to be used for resolving a real-world problem. The data procured from the real-world problem is clustered and classified into an ontology of the determined knowledge model. Inferencing rules to be used for deconstructing the real-world problem are identified, and a machine reasoning is generated to provide a hypothesis for the problem and an explanation to accompany the hypothesis.
IPC codes: G06N  20/    00            A I
G06N   5/    02            A I
Claims: number: 1
text: An artificial intelligence (AI) system comprising:
number: 2
text: An AI system comprising:
number: 3
text: The AI system as claimed in claim 2, wherein the rule constructor is to build a strength of the explanation into the inferencing rules.
number: 4
text: The AI system as claimed in claim 2 or 3, wherein the inferencer and hypothesis generator is to determine a confidence parameter, indicative of a strength, associated with a decision and the associated explanation.
number: 5
text: The AI system as claimed in claim 2, 3 or 4, wherein the inductive reasoning techniques comprise one of supervised clustering techniques and unsupervised clustering techniques.
number: 6
text: The AI system as claimed in any of claims 2 to 5, wherein the abductive reasoning techniques comprise evidence-based reasoning techniques.
number: 7
text: The AI system as claimed in any of the preceding claims, wherein the explainer is to generate a visual representation of the decision and the explanation using machine learning techniques.
number: 8
text: The AI system as claimed in any of the preceding claims, wherein the rule identifier is to parse the real-world problem to curate logical sentences in the real-world problem.
number: 9
text: The AI system as claimed in any of the preceding claims, wherein the rule identifier is to provide a human-readable form of the deconstruction of the real-world problem to preview a line of reasoning.
number: 10
text: The AI system as claimed in any of the preceding claims, wherein the identified inferencing rules are triggered using one of a forward chaining process and a backward chaining process.
number: 11
text: Computer program instructions that are executable by at least one processor to:
number: 12
text: The computer program instructions as claimed in claim 11, wherein to provide the machine-learning based reasoning, the processor is to generate a visual representation of the decision and the explanation using machine learning techniques.
number: 13
text: The computer program instructions as claimed in claim 11 or 12, wherein to identify the inferencing rule, the processor is to parse the real-world problem to curate logical sentences in the real-world problem.
number: 14
text: The computer program instructions as claimed in claim 11, 12 or 13, wherein to identify the inferencing rule, the processor is to provide a human-readable form of the deconstruction of the real-world problem to preview of a line of reasoning.
number: 15
text: A computer-implemented method, comprising:
Office action: search_report, dated 2019-08-07
Prior art cited: ref_id: US201862626460P
ref_type: patent
severity: background
ref_id: US2008270336A1
ref_type: patent
severity: background
ref_id: - - -: "Kyndi Providing Explainable AI Through Advanced Knowledge Graphs", 24 January 2018 (2018-01-24), pages 1 - 8, XP055598062, Retrieved from the Internet <URL:https://kyndi.com/wp-content/uploads/2018/03/Cognilytica-Briefing-Note_Kyndi.pdf> [retrieved on 20190619]
ref_type: npl
severity: background
ref_id: - BERNSTEIN A ET AL: "Toward Intelligent Assistance for a Data Mining Process: An Ontology-Based Approach for Cost-Sensitive Classification", IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, IEEE SERVICE CENTER, LOS ALAMITOS, CA, US, vol. 17, no. 4, 1 April 2005 (2005-04-01), pages 503 - 518, XP011127515, ISSN: 1041-4347, DOI: 10.1109/TKDE.2005.67
ref_type: npl
severity: background
ref_id: - NICOLAS GRANER ET AL: "THE MACHINE LEARNING TOOLBOX CONSULTANT", INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE TOOLS, vol. 02, no. 03, 1 September 1993 (1993-09-01), SG, pages 307 - 328, XP055256280, ISSN: 0218-2130, DOI: 10.1142/S0218213093000163
ref_type: npl
severity: background
ref_id: US2008270336
ref_type: patent
severity: background
ref_id: - -, "Kyndi Providing Explainable AI Through Advanced Knowledge Graphs", (20180124), pages 1 - 8, URL: https://kyndi.com/wp-content/uploads/2018/03/Cognilytica-Briefing-Note_Kyndi.pdf, (20190619), XP055598062 [I] 1-15 * page  1  - page  4 *
ref_type: npl
severity: background
ref_id: - BERNSTEIN A ET AL, "Toward Intelligent Assistance for a Data Mining Process: An Ontology-Based Approach for Cost-Sensitive Classification", IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, IEEE SERVICE CENTER, LOS ALAMITOS, CA, US, (20050401), vol. 17, no. 4, doi:10.1109/TKDE.2005.67, ISSN 1041-4347, pages 503 - 518, XP011127515 [A] 1-15 * page  503  - page  517, column  l, paragraph  3 *
ref_type: npl
severity: background
ref_id: - NICOLAS GRANER ET AL, "THE MACHINE LEARNING TOOLBOX CONSULTANT", INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE TOOLS, SG, (19930901), vol. 02, no. 03, doi:10.1142/S0218213093000163, ISSN 0218-2130, pages 307 - 328, XP055256280 [A] 1-15 * the whole document *
ref_type: npl
severity: background
Final disposition: pending (2019-08-07)