AI Ethics in Business

Rutgers University via Coursera

Coursera based on 0 ratings

Likes

Overview

The "AI Ethics in Business" course provides a comprehensive exploration of the ethical implications and responsibilities associated with the use of artificial intelligence in the modern business landscape. As AI technologies become increasingly embedded in decision-making, operations, and customer interactions, it is essential for organizations to navigate the ethical challenges these innovations present. This course examines key ethical principles such as transparency, accountability, fairness, privacy, and bias mitigation. Participants will analyze real-world case studies to understand how ethical lapses in AI...

Syllabus

Foundations of AI Ethics

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.

Understanding AI and Ethical Implication

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.

Core Ethical Challenges in AI

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.

Regulatory Frameworks and Case Studies

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.

The Future of AI and Ethical Considerations

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.