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Meaningful Education and Engagement of Potential AI Users

​AI can be of great value to humans and the organisations they work with, but in their interactions, how wrong can you afford AI to be and what role are you going to take in AI monitoring and control.

The Law

The Learning Point from the above is what meaningful involvement are users going to have with AI.

Using LLMs to Judge Your Agents Output

A key learning point from the above is that you can have AI quality assess the outputs of AI, but it will not be perfect and how wrong can you afford AI monitoring of AI to be, and what role are you going to take in making AI safer

LLM Testing and Methods 

A key learning point from the above is there are many methods AI engineering teams can use to make AI safer. A key question is who in your organisaton is going to work with your suppliers AI team to make sure your organisations needs, wants and desires are represented.

Empathetic Engagement with Potential AI Users

Please consider the above issues before you explore the value of AI with your staff, or your customers' staff.

To help you explore the value of AI we have created Betty.

Betty is an empathetic, AI-guided feedback session designed to help an employee identify and reflect on unproductive or unenjoyable aspects of their working day, with the aim of facilitating personal and organisational improvements.

You can test the user Experience of Betty below. 

Typically, planned interactions with Betty identify meaningful and valuable ideas for AI within 24 hours.  She can be deployed in any written or spoken language.  A private instance of Betty can be deployed in 2 hours, costs £1 per hour, and is is available 24/7, 365 days a year,  Betty can be booked for a minimum of 12 hours.   Book time with Betty. 
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  • Our MIssion
  • Our Technology
  • Our Products
  • Our Sector Focus
  • Your Use Cases
  • Your Agent Designer
  • Your AI Investment Support
  • Your Education Resource
  • Contact Us
  • AI Safety Research Pipeline
  • Research and News
  • PLIMPLUS
  • Scientific Paper Robustness
  • Podcast
  • Feedback