DEMOGRAPHIC BASED ADJUSTMENT OF DATA PROCESSING DECISION RESULTS

• US 20170364934A1
• Filed: 06/16/2016
• Published: 12/21/2017
• Est. Priority Date: 06/16/2016
• Status: Active Grant

• Current Assignee: Accenture Global Solutions Limited (Accenture PLC)
• Original Assignee: Accenture Global Solutions Limited (Accenture PLC)
• Inventors: Tiell, Steven C.
• Granted Patent: US 10,600,067 B2
• Time in Patent Office: Days
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0205 Location or geographical consideration

Abstract

Techniques are described for iteratively adjusting data processing decision results in accordance with rules. In some implementations, the applied rules may be data ethics rules associated with particular demographic groups, such as users in a particular geographic location, users in a particular age range, and so forth. The rules may describe the manner in which data, such as data that describes or identifies individuals, is collected, stored, analyzed, applied, manipulated, and/or destroyed. The various stages of data handling may be described as a data supply chain, and a set of rules may apply to the handling of data at one or more stages of the data supply chain. The rules may enforce data privacy considerations and/or other types of constraints on data handling.

Claims

1. A computer-implemented method performed by at least one processor, the method comprising:

receiving, by the at least one processor, a result of a data processing decision determined by an automated data processing decision engine;

determining, by the at least one processor, that the result of the data processing decision is associated with multiple demographic groups;

determining, by the at least one processor, at least one risk metric that measures a negative effect of the result on at least one demographic group of the multiple demographic groups; and

responsive to determining that the at least one risk metric exceeds at least one risk threshold, adjusting, by the at least one processor, the result of the data processing decision for the at least one demographic group.

2. The method of claim 1, wherein the result of the data processing decision is to perform at least one operation including one or more of collecting, analyzing, storing, communicating, or destroying the data.

3. The method of claim 1, wherein the multiple demographic groups correspond to different geographic locations of end-users associated with the data.

4. The method of claim 1, wherein the multiple demographic groups correspond to different age ranges of end-users associated with the data.

5. The method of claim 1, wherein:

the negative effect of the result includes the result being contrary to at least one of a law, a rule, a regulation, or a norm applicable to the at least one demographic group;

adjusting the result includes adjusting the result to comply with the at least one of the law, the rule, the regulation, or the norm.

6. The method of claim 1, wherein the at least one risk metric is based on one or more of:

a magnitude of the negative effect of the result on the at least one demographic group;

or

a probability of occurrence of the negative effect of the result on the at least one demographic group.

7. The method of claim 6, wherein determining that the at least one risk metric exceeds the at least one risk threshold comprises one or more of:

determining that the magnitude exceeds a magnitude threshold;

or

determining that the probability exceeds a probability threshold.

8. A system, comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor, the memory storing instructions which, when executed by the at least one processor, cause the at least one processor to perform operations comprising;

receiving a result of a data processing decision determined by an automated data processing decision engine;

determining that the result of the data processing decision is associated with multiple demographic groups;

determining at least one risk metric that measures a negative effect of the result on at least one demographic group of the multiple demographic groups; and

responsive to determining that the at least one risk metric exceeds at least one risk threshold, adjusting the result of the data processing decision for the at least one demographic group.

9. The system of claim 8, wherein the result of the data processing decision is to perform at least one operation including one or more of collecting, analyzing, storing, communicating, or destroying the data.

10. The system of claim 8, wherein the multiple demographic groups correspond to different geographic locations of end-users associated with the data.

11. The system of claim 8, wherein the multiple demographic groups correspond to different age ranges of end-users associated with the data.

12. The system of claim 8, wherein:

the negative effect of the result includes the result being contrary to at least one of a law, a rule, a regulation, or a norm applicable to the at least one demographic group;

adjusting the result includes adjusting the result to comply with the at least one of the law, the rule, the regulation, or the norm.

13. The system of claim 8, wherein the at least one risk metric is based on one or more of:

a magnitude of the negative effect of the result on the at least one demographic group;

or

a probability of occurrence of the negative effect of the result on the at least one demographic group.

14. The system of claim 13, wherein determining that the at least one risk metric exceeds the at least one risk threshold comprises one or more of:

determining that the magnitude exceeds a magnitude threshold;

or

determining that the probability exceeds a probability threshold.

15. One or more computer-readable media storing instructions which, when executed by at least one processor, cause the at least one processor to perform operations comprising:

receiving a result of a data processing decision determined by an automated data processing decision engine;

determining that the result of the data processing decision is associated with multiple demographic groups;

determining at least one risk metric that measures a negative effect of the result on at least one demographic group of the multiple demographic groups; and

responsive to determining that the at least one risk metric exceeds at least one risk threshold, adjusting the result of the data processing decision for the at least one demographic group.

16. The one or more computer-readable media of claim 15, wherein the result of the data processing decision is to perform at least one operation including one or more of collecting, analyzing, storing, communicating, or destroying the data.

17. The one or more computer-readable media of claim 15, wherein the multiple demographic groups correspond to different geographic locations of end-users associated with the data.

18. The one or more computer-readable media of claim 15, wherein the multiple demographic groups correspond to different age ranges of end-users associated with the data.

19. The one or more computer-readable media of claim 15, wherein:

the negative effect of the result includes the result being contrary to at least one of a law, a rule, a regulation, or a norm applicable to the at least one demographic group;

adjusting the result includes adjusting the result to comply with the at least one of the law, the rule, the regulation, or the norm.

20. The one or more computer-readable media of claim 15, wherein the at least one risk metric is based on one or more of:

a magnitude of the negative effect of the result on the at least one demographic group;

or

a probability of occurrence of the negative effect of the result on the at least one demographic group.