Rutgers the State University of New Jersey
AI Ethics in Business
Rutgers the State University of New Jersey

AI Ethics in Business

Taught in English


Gain insight into a topic and learn the fundamentals

Steven Katz

Instructor: Steven Katz

Intermediate level

Recommended experience

6 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Understand AI Basics and Applications ; Navigate Ethical and Regulatory Landscapes ; Apply AI-Ethics in Practical Scenarios

Details to know

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June 2024


11 assignments

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There are 5 modules in this course

Module 1 of this course offers a foundational exploration of Artificial Intelligence, emphasizing its practical applications and ethical implications. Learners will understand the distinctions between different types of AI, such as Strong and Weak AI, and the importance of ethics in AI development. Through targeted readings, videos, and interactive assignments, this module prepares participants to navigate the evolving landscape of AI technology and its societal impacts.

What's included

2 videos3 readings2 assignments

Module 2 investigates how AI is currently implemented in different fields. It also emphasizes the importance of responsibility in AI usage and explores how to establish moral frameworks when robust legal and social guidelines are absent. This module provides learners with critical insights into the ethical challenges AI poses and how to navigate them effectively.

What's included

2 videos2 assignments1 discussion prompt

This module focuses on Artificial Intelligence's core ethical and operational challenges, covering fairness, privacy, transparency, and accountability. The module also discusses the contexts and mechanisms of AI decision-making, underscoring the critical roles of human oversight.

What's included

4 videos1 reading2 assignments1 discussion prompt

This module explores the regulatory framework for artificial intelligence, offering a comprehensive look at various regulatory approaches and their impacts on society and AI development. Learners will examine how different regulatory frameworks affect AI applications across sectors, including AI's role in human resources and the real-world outcomes of automation in hard labor. Through a mix of theoretical concepts and case studies, the module provides deep insights into the complexities of AI regulation.

What's included

2 videos1 reading2 assignments1 discussion prompt

This final module assesses how AI implementation impacts society, highlighting the importance of vigilant monitoring and regulation. It explores the limitations of unchecked AI, proactive regulatory strategies, and the dual roles of AI in enhancing and risking sectors like robotics and autonomous transport. The module concludes with a comprehensive review of critical lessons from the course, urging a balanced approach to AI governance to safeguard societal and technological futures.

What's included

4 videos3 assignments1 discussion prompt


Steven Katz
Rutgers the State University of New Jersey
1 Course81 learners

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