US 12,407,727 B2
AI ethics scores in automated orchestration decision-making
Nicole Reineke, Northborough, MA (US); and Stephen J. Todd, North Andover, MA (US)
Assigned to Dell Products L.P., Round Rock, TX (US)
Filed by Dell Products L.P., Round Rock, TX (US)
Filed on Jan. 19, 2022, as Appl. No. 17/648,410.
Prior Publication US 2023/0231883 A1, Jul. 20, 2023
Int. Cl. H04L 9/40 (2022.01); G06F 9/50 (2006.01)
CPC H04L 63/20 (2013.01) [G06F 9/505 (2013.01); G06F 9/5072 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A method, comprising:
receiving an orchestration automation request for an asset;
identifying an ethics rule that applies to the asset;
comparing the ethics rule to asset values contained in an AI ethics datastore, wherein the ethics rule relates to AI ethics pillars, and the AI ethics pillars comprise (1) accountability, (2) value alignment, (3) explainability, (4) fairness, and (5) user data rights;
based on the comparing, identifying a list of assets that conform to the ethics rule;
using a historian, reviewing prior ethics-based decisions concerning placement and use of the asset;
in response to the reviewing of the prior ethics-based decisions, triggering a notification that a risk assessment concerning the asset should be performed by a prospective user of the asset prior to use of the asset by the prospective user;
based on the list of assets that conform to the ethics rule and the reviewing of the prior ethics-based decisions, automatically placing the assets at an entity of a computing infrastructure; and
measuring a score for each of the AI ethics pillars by context of the asset, a machine, a creator of the asset, and a peer.