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How to Develop AI Guiding Principles

OnStrategyHQ

Welcome to the journey of defining responsible AI within your organization! This post is part of a series that will help you articulate distinct and actionable guiding principles for responsible AI in your organization. Using AI without guiding principles or guardrails exposes your organization, data privacy, and security risks.

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50 Modern Municipal Government Performance Measurement Ideas

Envisio

This data could include surveys, reports, existing databases, national datasets, or information collected from various departments within your local government organization. Despite its squishiness, local government organizations should be able to consistently measure community trust over time through a set of proxy measures.

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10 Examples of Human-Centered AI

SmartKarrot

This, in turn, enables organizations to understand their customer base in a much more effective manner. Several global organizations have been called out for biases when hiring in recent times, these biases could range from gender, race, disabilities, and more. More efficient green energy. More effective cybersecurity.

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Adopting artificial intelligence in your sales process

PandaDoc

For example, an AI tool (like Brandwatch or Amplitude ) identifies a trend: customers in colder regions appreciate the thermostats’ energy-saving features. What’s important is that such tools can access and utilize parameters far beyond the usual set you’ve used to consider within the manual scoring.