FRACTIONAL OWNERSHIP OF ARTIFICIAL INTELLIGENCE ASSETS USING NON-FUNGIBLE TOKENS (NFTs) AND CREDIT FLOW THEREFOR
The technology disclosed relates to a fractional ownership system for artificial intelligence systems. A fractionalization logic is configured to specify respective fractions of ownership for respective owners of an artificial intelligence system. The fractions of ownership are specified based on a plurality of architectural resolutions of an architecture of the artificial intelligence system. A credit flow logic is configured to fractionalize and allocate credit results from licensing of the artificial intelligence system to the respective owners based on the fractions of ownership.
1 . A fractional ownership system for artificial intelligence systems, comprising:
memory storing an artificial intelligence system;
fractionalization logic configured to specify respective fractions of ownership for respective owners of the artificial intelligence system, wherein the fractions of ownership are specified based on a plurality of architectural resolutions of an architecture of the artificial intelligence system; and
credit flow logic configured to fractionalize and allocate credit results from licensing of the artificial intelligence system to the respective owners based on the fractions of ownership.
2 . The fractional ownership system of clause 1, wherein the fractionalization logic is further configured to assign a parent non-fungible token (NFT) to the artificial intelligence system.
3 . The fractional ownership system of clause 2, wherein the parent NFT is linked to respective offspring NFTs that correspond to the respective fractions of ownership for the respective owners of the artificial intelligence system.
4 . The fractional ownership system of clause 3, wherein the credit flow logic is further configured to fractionalize and allocate the credit using the offspring NFTs.
5 . The fractional ownership system of clause 1, wherein the plurality of architectural resolutions of the architecture of the artificial intelligence system includes a layer-by-layer resolution for layers in the artificial intelligence system.
6 . The fractional ownership system of clause 5, wherein the artificial intelligence system has n layers that are owned by m owners, thereby generating m fractions of ownership, where n > m.
7 . The fractional ownership system of clause 1, wherein the plurality of architectural resolutions of the architecture of the artificial intelligence system includes a weight subset-by-weight subset resolution for a weight set in a layer in the artificial intelligence system.
8 . The fractional ownership system of clause 7, wherein the artificial intelligence system has i weight subsets across j layers, wherein the i weight subsets are owned by k owners, thereby generating k fractions of ownership, where i > j > k.
9 . The fractional ownership system of clause 1, wherein the credit flow logic is implemented using a smart contract.
10 . The fractional ownership system of clause 1, wherein the fractionalized credit is allocated to respective digital wallets of the respective owners.
11 . A computer-implemented method of fractional ownership of artificial intelligence systems, including:
storing an artificial intelligence system;
specifying respective fractions of ownership for respective owners of the artificial intelligence system, wherein the fractions of ownership are specified based on a plurality of architectural resolutions of an architecture of the artificial intelligence system; and
fractionalizing and allocating credit results from licensing of the artificial intelligence system to the respective owners based on the fractions of ownership.
12 . The computer-implemented method of clause 11, further including assigning a parent non-fungible token (NFT) to the artificial intelligence system.
13 . The computer-implemented method of clause 12, wherein the parent NFT is linked to respective offspring NFTs that correspond to the respective fractions of ownership for the respective owners of the artificial intelligence system.
14 . The computer-implemented method of clause 13, further including fractionalizing and allocating the credit using the offspring NFTs.
15 . The computer-implemented method of clause 11, wherein the plurality of architectural resolutions of the architecture of the artificial intelligence system includes a layer-by-layer resolution for layers in the artificial intelligence system.
16 . The computer-implemented method of clause 15, wherein the artificial intelligence system has n layers that are owned by m owners, thereby generating m fractions of ownership, where n > m.
17 . The computer-implemented method of clause 11, wherein the plurality of architectural resolutions of the architecture of the artificial intelligence system includes a weight subset-by-weight subset resolution for a weight set in a layer in the artificial intelligence system.
18 . The computer-implemented method of clause 17, wherein the artificial intelligence system has i weight subsets across j layers, wherein the i weight subsets are owned by k owners, thereby generating k fractions of ownership, where i > j > k.
19 . The computer-implemented method of clause 11, further including implementing the fractionalization and the allocation of the credit using a smart contract.
20 . A non-transitory computer-readable storage medium impressed with computer program instructions to implement fractional ownership of artificial intelligence systems, the instructions, when executed on a processor, implement a method comprising:
storing an artificial intelligence system;
specifying respective fractions of ownership for respective owners of the artificial intelligence system, wherein the fractions of ownership are specified based on a plurality of architectural resolutions of an architecture of the artificial intelligence system; and
fractionalizing and allocating credit results from licensing of the artificial intelligence system to the respective owners based on the fractions of ownership.