AI Governance & Law Enforcement
Building Public Trust
Organizations are swiftly advancing the power of AI-enabled applications to become more responsive and to effectively meet industry and public needs. This raises pressing and practical questions about the trust in technology and the impact, ethics and accountability of these technologies.
Law enforcement is empowering itself with modernized investigative solutions to fight modern crimes, many of which include the usage of AI and machine learning technologies. While the intent of the use of these technologies is general welfare, there are a lot of inherent risks associated with the technology
Risks associated with AI technology
Fairness
Hidden Costs
Cybersecurity
Legal Compliance
Litigation & Liability
Privacy and Human Rights
Transparency & Accountability
Community Relations – Public Trust
When AI is deployed without disciplined governance, law enforcement agencies risk experiencing a loss of reputation and public trust as a result of unintentional failures of the AI technology. As a consequence, they risk losing access to AI-based investigative tools and regulating bodies consider legislation in response to public outcry.
NuEnergy.ai Machine Trust Platform (MTP) measures essential trust parameters including privacy, ethics, transparency, and bias and protects against the risks of AI drift. With the services provided by NuEnergy, agences can develop comprehensive and tool agnostic governance, increasing transparency, and measuring trust parameters such as privacy, ethics, and bias.
Features of MTP
- Self-assessment scorecards: Create and monitor scorecards for AI Governance by organization or AI model
- AI benchmarking: Benchmark and measure AI trustworthiness to a predefined index
- Measure trustworthiness: Measure the trustworthiness of machine learning algorithms on dimensions including privacy, bias, and explainability
- Global governance tools and standards: Integrate qualified governance tools and standards from global providers
- Dashboards and reporting: Build and share dashboards reporting against AI Governance standards and identifying areas requiring improvement