Featured Insights

Public sector organizations should develop and be governed by responsible AI strategies, and these strategies should incorporate principles, practices, tools, and governance to enable those across the organization to assess, adopt, and manage AI. 

This may involve:

·       Developing new or adopt existing policies and guidelines.

·       Providing training to staff to ensure they are aware of the considerations associated with AI.

·       Ensuring data used to train AI models is representative and assessed for bias.

·       Establish governance bodies to subject sensitive use cases to particularly high scrutiny and use tooling and telemetry to ensure that they are functioning as intended and not causing unintended harm.

·       Ensuring accountability for both the development and operations of AI capabilities and AI-enabled systems.

·       Staff, stakeholders, and citizens can provide feedback that helps to improve individual AI workloads and the respective responsible AI strategy.

Local governments are among the top targets for cyber criminals today. Unfortunately they’ve found local governments to be a target rich environment with juicy data that’s not as secure as it should be. There have been a number of incidents of ransomware attacks against local governments. Gen AI enhances the cybersecurity posture for local governments who aren’t able to hire enough skilled workers to play security offense and defense. There are specific LLM’s trained on security data that can monitor, detect, and help workers respond to an attack. Again, another example of a “sidecar” AI approach where it’s assisting humans to be 10-100xmore productive, and filling in skill gaps.