The NuEnergy.ai Generative AI Policy Canvas enables organizations to build their Generative AI policy or guidelines based on essential principles of AI Governance. It helps organizations to define:
Expectations of AI Education, awareness & understanding

• Expectations of AI use Transparency/Declarations/Privacy/Confidentiality
• Methods for Generative AI and AI Use Cases Impact and Risk Assessment
• Metrics for Accuracy, Fairness, Ethics, Safety, Drift for High Impact uses
• Metrics for Accuracy, Fairness, Ethics, Safety, Drift for Low Impact uses
• Criteria for Acceptability of Generative AI Tech applications (ChatGPT, Bard…)

and:

• Examine legislative and regulatory compliance requirements
• Review organization’s current policies, processes and procedures and update for AI Governance objectives (Policy implementation).

As Generative AI and AI Governance are still relatively new fields, it is vital that an organization’s leadership and personnel become familiar with the requirements for managing the risks and leveraging the opportunities of these technologies within acceptable governance guardrails.
To that end, NuEnergy.ai offers various levels of education and training:

1. Custom Executive Education Programs for Leadership, Boards and Governors (ex. AI-101,  Generative AI, AI Governance, AI Legislation and Standards, etc.): on-line or on-site options.
2. ‘All Staff’ AI and AI Governance education program: on-line or on-site options tailored to the organization’s policies and priorities. 

Generative AI governance is achieved through effective, up to date policy implementation and monitoring. These policies must be based on guardrails that are organization specific and that adhere to the latest best practices in AI Development and Governance.
The Machine Trust Platform (MTP)  is a configurable technology risk management software  adapted to the specific requirements of each organization:

  Configure Oversight Guardrails based on Generative AI Policies:

1. Define organizational metrics
2. Set organizational thresholds/Generative AI KPIs

Monitor Generative AI policy implementation relative to guardrails and track AI tech inventory over products’ life-cycles.

The MTP provides a single environment in which to analyze and track an organization’s use of Generative AI based applications.

Every Generative AI use case follows NuEnergy.ai’s proprietary methodology to assess its trustworthiness based on the organization’s specific governance objectives as determined in the Policy Canvas. The methodology follows a multi-dimensional Use Case Trust Assessment process that generates a Trust scorecard and detailed performance reports and documentation throughout the lifecycle of the technology. Trends and alerts of changes in performance are incorporated in the MTP Dashboard to provide oversight and ease of management and intervention.

The MTP provides dashboard visualization of an organization’s AI Tech inventory with drill down capabilities of every use case assessment and graphical representations of performance variations over time. The Generative AI module of the MTP is focused on developing, deploying and monitoring an organization’s policies relative to the use of Large Language Models (LLMs).