AI Literacy Certification Master (Cert)

A Technical Deep Dive into AI-powered Chatbots
Course info

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Course info

AI Literacy Certification Master (Cert)

Content

Registration
Access Event Registration System sample
Verify Payment Status
Content
AI is not a lawyer sample
Level 1 (pp.9-39) of AI Readiness Guide (PDF) sample
NCSC AI guidelines for courts (PDF) sample
AI foundations in the courts sample
Vendor Engagement & Procurement (pp.54-60) of AI Readiness Guide (PDF) sample
Establishing GenAI literacy in courts: What judges and court administrators... sample
Fundamentals of AI in the Court System sample
How to navigate ethics for common AI use cases in courts sample
Ethics of GenAI - A Guide for Judges and Legal Professionals sample
Principles and Practices for Using AI Responsibly - Resource 1 (Video) sample
Principles and Practices for Using AI Responsibly - Resource 2 (PDF) sample
Getting the Best of GenAI - How to Use Prompt Engineering sample
How to use prompt engineering sample
Using GenAI to streamline HR tasks in courts sample
AI in Action - Current Applications in State Courts sample
Upskilling court staff & driving operational efficiency through AI chatbots sample
A Technical Deep Dive into AI-powered Chatbots sample
Chatbots for justice: Building AI-powered legal solutions step by step sample
AI-Assisted Translation in Courts: Exploring Opportunities & Navigating Risks sample
AI in court translation: Navigating opportunities, risks & the human factor sample
Deepfakes - Evidentiary Issues for State Courts sample
Deepfakes on trial: How judges are navigating AI evidence authentication sample
AI Due Diligence Survey (PDF) sample
Assessment
Master Comprehensive Test
Evaluation
Master Role-Based Learning Evaluation

Completion rules

All units must be completed
Leads to a certificate with a duration: 1 year

Close

What is a primary benefit of creating a dedicated "knowledge base" for a legal chatbot, as opposed to solely relying on web scraping for content?

It ensures that the chatbot's responses are always longer and more detailed.

It allows for dynamic, real-time updates without any human intervention.

It provides greater transparency and control over the information the chatbot uses, enabling better quality assurance.

It significantly reduces the financial cost of operating the chatbot by minimizing API calls.

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