AI Literacy Certification Master (Cert)
Deepfakes - Evidentiary Issues for State Courts
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Content
AI is not a lawyer
Level 1 (pp.9-39) of AI Readiness Guide (PDF)
NCSC AI guidelines for courts (PDF)
AI foundations in the courts
Vendor Engagement & Procurement (pp.54-60) of AI R...
Establishing GenAI literacy in courts: What judges...
Fundamentals of AI in the Court System
How to navigate ethics for common AI use cases in ...
Ethics of GenAI - A Guide for Judges and Legal Pro...
Principles and Practices for Using AI Responsibly ...
Principles and Practices for Using AI Responsibly ...
Getting the Best of GenAI - How to Use Prompt Engi...
How to use prompt engineering
Using GenAI to streamline HR tasks in courts
AI in Action - Current Applications in State Court...
Upskilling court staff & driving operational effic...
A Technical Deep Dive into AI-powered Chatbots
Chatbots for justice: Building AI-powered legal so...
AI-Assisted Translation in Courts: Exploring Oppor...
AI in court translation: Navigating opportunities,...
Deepfakes - Evidentiary Issues for State Courts
Deepfakes on trial: How judges are navigating AI e...
AI Due Diligence Survey (PDF)
Assessment
Master Comprehensive Test
Evaluation
Master Role-Based Learning Evaluation
Course info
×
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
Which of the following statements best characterizes the challenge of developing automated tools for detecting AI-generated fakes, as discussed in the webinar?
Automated detection tools are becoming increasingly reliable and are expected to surpass AI content generators in effectiveness within weeks.
While some progress has been made, the continuous improvement of AI content generators makes it extremely difficult for detection tools to maintain a consistent advantage in reliability.
The scientific community has largely agreed that technological solutions will not be effective in detecting AI-generated fakes, necessitating a focus on legal frameworks.
Current automated detection tools are highly effective at identifying AI-generated content, but widespread adoption is hindered by high costs.
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