AI Literacy Certification Master (Cert)

Ethics of GenAI - A Guide for Judges and Legal Professionals
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 overarching concept is repeatedly emphasized as crucial for the judiciary when considering the integration of AI?

The ability to rapidly develop new AI technologies in-house.

Maintaining public confidence through competence, fairness, and diligence.

Shifting decision-making entirely to AI systems for efficiency.

Minimizing any human involvement to avoid introducing bias.

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