This visitor publish is by Sunil Soares, founder and CEO of YDC – AI Governance. Beforehand, he based and led Data Asset, a knowledge administration agency. Sunil brings a deeply-researched perspective to AI governance—authoring 13 books which have formed how enterprises strategy knowledge and AI at scale.
The YDC crew developed an AI Governance prototype in Atlan. We reused the prevailing working mannequin with belongings and added customized attributes and relations.
AI Use Instances
As mentioned in an earlier weblog, a digital twin could also be a digital duplicate of a specific affected person that displays the distinctive genetic make-up of the affected person or a simulated three-dimensional mannequin that displays the traits of a affected person’s coronary heart. Digital twins could also be utilized to speed up medical trials and scale back prices within the life sciences trade. The YDC crew carried out an summary of the Digital Twins for Scientific Trials AI Use Case in Atlan.
AI Threat Assessments
We carried out an AI Threat Evaluation for the use case with Atlan. Digital twins have the potential to introduce bias dangers based mostly on the algorithms and the underlying knowledge units. We documented the bias danger evaluation and a mapping to the related rules in Atlan.
We additionally documented the privateness dangers in Atlan.
We documented different dimensions of AI danger together with Reliability, Accountability, Explainability and Safety in Atlan. For the sake of brevity, I’ve not included these screenshots right here.
This use case would seemingly be categorised as Excessive Threat based mostly on the Medical Gadget class of Article 6 of the EU AI Act.
AI Threat Evaluation Workflows
We configured an AI Threat Evaluation workflow in Atlan to route the AI Threat Evaluation to the suitable events for approval.
The screenshot beneath reveals the AI Threat Evaluation in Authorized standing based mostly on approvals from the Operational Threat Administration Committee (ORMC) and the AI Governance Council.
Shadow AI Governance to Ingest Metadata from ServiceNow CMDB and YDC_AIGOV Brokers on Hugging Face to Spotlight COTS Apps with Embedded AI
In an earlier weblog, I mentioned Shadow AI Governance and the YDC_AIGOV brokers. As half of the present train, we ingested metadata across the Industrial-off-the-Shelf (COTS) apps into Atlan. This info consists of metadata corresponding to Software Identify, Privateness Coverage URL, Information Particularly Excluded from AI Coaching, Embedded AI and Choose-Out Possibility.
The screenshot beneath reveals Atlan earlier than operating the mixing with the YDC_AIGOV brokers. The catalog solely comprises one AI Use Case (Digital Twins for Scientific trials) and one utility (Google Product Companies).
After operating the mixing with Atlan API, Atlan comprises a broader checklist of purposes together with Actimize Xceed together with metadata in the appropriate panel.
Conditional Logic with Atlan API to Auto-Create AI Use Case and AI Threat Evaluation Objects
We carried out conditional logic within the Atlan API to auto-create AI use circumstances just for purposes with embedded AI. On this case, we created an AI use case object in Atlan for Actimize Xceed as a result of Embedded AI = “Sure.”
We additionally carried out conditional logic within the Atlan API to auto-create AI Threat Evaluation objects the place Information Particularly Excluded for AI Coaching = “No.” Clearly, this logic is configurable.
It is a primary AI Governance configuration in Atlan with extra to come back!
This publish was initially revealed on Your Information Join. Learn the unique article right here.