Systems, apparatus, and methods for embedded opt-in permission for an artifical intelligence service

US11822667B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11822667-B2
Application numberUS-202117356301-A
CountryUS
Kind codeB2
Filing dateJun 23, 2021
Priority dateJun 23, 2021
Publication dateNov 21, 2023
Grant dateNov 21, 2023

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

Methods that can embed opt-in permission for an artificial intelligence (AI) service are provided. One method includes implementing, by a processor, an access level of a plurality of access levels for user sensor data. The method further includes, based on the implemented access level, generating, from a set of raw sensor data received from a set of sensors, a set of sensor data for a user of an apparatus and gaining insight about the user of the apparatus via an AI service utilizing the set of sensor data. Here, implementing the access level provides to the user of the apparatus an embedded opt-in permission for the AI service. Systems and apparatus that can include, perform, and/or implement the methods are also provided.

First claim

Opening claim text (preview).

What is claimed is: 1. An apparatus, comprising: a processor; and a memory configured to store embedded code executable by the processor to: implement an access level of a plurality of access levels for a set of sensors generating user sensor data, and based on the implemented access level for the set of sensors, perform a set of operations to: generate, from a set of raw sensor data related to an active use of the apparatus and received from the set of sensors, a set of sensor data for a user of the apparatus corresponding to the implemented access level and related to the active use of the apparatus, wherein the user of the apparatus is unaware that the set of sensors are generating the set of raw sensor data related to the active use of the apparatus at a time when the set of raw sensor data is being generated by the set of sensors, notify the user of the apparatus that at least one biometric property of the user of the apparatus is being collected by the set of sensors and is included in the set of raw sensor data related to the active use of the apparatus subsequent to the time when the set of raw sensor data is generated by the set of sensors, and gain insight about the user of the apparatus via an artificial intelligence (AI) service utilizing the set of sensor data related to the active use of the apparatus corresponding to the implemented access level, wherein implementing the access level provides to the user of the apparatus an embedded opt-in/opt-out permission for the AI service. 2. The apparatus of claim 1 , wherein the embedded code comprises one of pre-boot code, operating system code, system management basic input/output system (SMBIOS) code, device driver code, and application code embedded in the memory. 3. The apparatus of claim 1 , wherein the plurality of access levels comprises a low privacy level, a medium privacy level, and a high privacy level. 4. The apparatus of claim 1 , wherein the plurality of access levels comprises an application-based access level, a quantity-based access level, a location-based access level, and a time-based access level. 5. The apparatus of claim 1 , wherein the embedded code is configured to cause the processor to provide an AI collection indicator to the user in response to the processor performing the set of operations that generate the set of sensor data for the user of the apparatus and gain insight about the user of the apparatus. 6. The apparatus of claim 1 , wherein: the set of sensor data is generated in real-time; and the insight about the user of the apparatus is gained in real-time. 7. The apparatus of claim 1 , wherein: the set of sensor data is stored in a library; and the insight about the user of the apparatus is gained subsequent to the set of sensor data being stored in the library. 8. A method, comprising: implementing, by a processor, an access level of a plurality of access levels for a set of sensors generating user sensor data; and based on the implemented access level for the set of sensors: generating, from a set of raw sensor data related to an active use of an apparatus and received from the set of sensors, a set of sensor data for a user of the apparatus corresponding to the implemented access level and related to the active use of the apparatus, wherein the user of the apparatus is unaware that the set of sensors are generating the set of raw sensor data related to the active use of the apparatus at a time when the set of raw sensor data is being generated by the set of sensors, notify the user of the apparatus that at least one biometric property of the user of the apparatus is being collected by the set of sensors and is included in the set of raw sensor data related to the active use of the apparatus subsequent to the time when the set of raw sensor data is generated by the set of sensors, and gaining insight about the user of the apparatus via an artificial intelligence (AI) service utilizing the set of sensor data related to the active use of the apparatus, wherein implementing the access level provides to the user of the apparatus an embedded opt-in/opt-out permission for the AI service. 9. The method of claim 8 , wherein the plurality of access levels comprises a low privacy level, a medium privacy level, and a high privacy level. 10. The method of claim 8 , wherein the plurality of access levels comprises an application-based access level, a quantity-based access level, a location-based access level, and a time-based access level. 11. The method of claim 8 , further comprising: providing an AI collection indicator to the user in response to generating the set of sensor data for the user of the apparatus and gaining insight about the user of the apparatus. 12. The method of claim 8 , wherein: the set of sensor data is generated in real-time; and the insight about the user of the apparatus is gained in real-time. 13. The method of claim 8 , wherein: the set of sensor data is stored in a library; and the insight about the user of the apparatus is gained subsequent to the set of sensor data being stored in the library. 14. A computer program product comprising a computer-readable storage medium configured to store embedded code executable by a hardware processor, the embedded executable code comprising code to perform: implementing an access level of a plurality of access levels for a set of sensors generating user sensor data; and based on the implemented access level for the set of sensors: generating, from a set of raw sensor data related to an active use of an apparatus and received from a set of sensors, a set of sensor data for a user of the apparatus corresponding to the implemented access level and related to the active use of the apparatus, wherein the user of the apparatus is unaware that the set of sensors are generating the set of raw sensor data related to the active use of the apparatus at a time when the set of raw sensor data is being generated by the set of sensors, notifying the user of the apparatus that at least one biometric property of the user of the apparatus is being collected by the set of sensors and is included in the set of raw sensor data related to the active use of the apparatus subsequent to the time when the set of raw sensor data is generated by the set of sensors, and gaining insight about the user of the apparatus via an artificial intelligence (AI) service utilizing the set of sensor data related to the active use of the apparatus corresponding to the implemented access level, wherein implementing the access level provides to the user of the apparatus an embedded opt-in/opt-out permission for the AI service. 15. The computer program product of claim 14 , wherein the embedded code comprises one of pre-boot code, operating system code, system management basic input/output system (SMBIOS) code, device driver code, and application code embedded in the memory. 16. The computer program product of claim 14 , wherein the plurality of access levels comprises a low privacy level, a medium privacy level, and a high privacy level. 17. The computer program product of claim 14 , wherein the plurality of access levels comprises an application-based access level, a quantity-based access level, a location-based access level, and a time-based access level. 18. The computer program product of claim 14 , wherein the embedded code is configured to cause the processor to provide an AI collection indicator to the user in response to the processor generating the set of sensor data for the user of the apparatus and gaini

Assignees

Inventors

Classifications

  • G06F21/575Primary

    Secure boot · CPC title

  • User authentication · CPC title

  • at program execution time, where the protection is within the operating system · CPC title

  • Access rights, e.g. capability lists, access control lists, access tables, access matrices · CPC title

  • Protecting personal data, e.g. for financial or medical purposes · CPC title

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Frequently asked questions

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What does patent US11822667B2 cover?
Methods that can embed opt-in permission for an artificial intelligence (AI) service are provided. One method includes implementing, by a processor, an access level of a plurality of access levels for user sensor data. The method further includes, based on the implemented access level, generating, from a set of raw sensor data received from a set of sensors, a set of sensor data for a user of a…
Who is the assignee on this patent?
Lenovo Singapore Pte Ltd
What technology area does this patent fall under?
Primary CPC classification G06F21/575. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Nov 21 2023 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 2 related publications on this page (citations in our corpus or others sharing the same primary CPC).