Human-vs-Machine Dilemma Case Labs Essentials from Tonex, Inc.

Human-vs-Machine Dilemma Case Labs Essentials

Examine the tension between human control and machine autonomy in "Human-vs-Machine Dilemma Case Labs Essentials." Through hands-on simulations, explore real-world conflicts where cybersecurity and decision authority intersect. Learn how to assess risk, trust, and ethics when AI systems may be compromised or produce unsafe outputs. Cybersecurity discussions focus on adversarial attacks, AI hijacking, and emergency disengagement protocols that safeguard human lives and operational integrity in defense, aviation, and emergency response systems.

Course Overview

Overall Proficiency Level

2 - Intermediate

Course Catalog Number

T101

Course Prerequisites

None

Training Purpose

Functional Development

Management Development

Specific Audience

All

Delivery Method

Online, Instructor-Led

Online, Instructor-Led

Learning Objectives

Explore the ethical dilemmas in human-vs-machine decision-making.
Analyze case studies involving human and machine interactions.
Evaluate the strengths and weaknesses of human and machine decision-making.
Identify the factors influencing trust and collaboration between humans and machines.
Discuss the future of human-machine interaction in complex scenarios.

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Competency Areas

Work Roles

Feedback

If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@mail.cisa.dhs.gov. Please keep in mind that NICCS does not own this course or accept payment for course entry. If you have questions related to the details of this course, such as cost, prerequisites, how to register, etc., please contact the course training provider directly. You can find course training provider contact information by following the link that says “Visit course page for more information...” on this page.