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AI Ethics in Business

Steven Katz

Learning Outcomes:

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Learning Outcomes:

This introductory-level course combined theoretical knowledge with actionable insights for real-world business scenarios, making it ideal for learners looking to integrate AI into the social ethics strategy. By the end of this course, you will be able to:

• Understand AI Basics

• Explore Ethical Dimensions

• Grasp Regulatory Environments

• Address Privacy and Fairness:

• Practical Insights

This course covers an Intermediate knowledge of AI technology and its current application in the business field. It also covers foundational topics of ethics and regulatory frameworks relevant to AI issues. The course also provides real-world case studies and future projections.

This course integrates AI technology with business applications and social ethics, providing a unique and comprehensive learning experience. Participants will gain practical skills for implementing AI solutions responsibly and in compliance with regulations. The course connects theoretical concepts to actual business and ethical scenarios through case studies and real-world examples. Discussions on future AI trends and ethical dilemmas further prepare learners to lead in their fields.

This Intermediate-level course is designed for students and professionals in various fields, including business managers, IT specialists, policymakers, and those aspiring to integrate AI into their career paths. To be successful in this course, you need to have a background in fundamental business operations and basic knowledge of AI (common AI applications in business and basic algorithms).

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What's inside

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.
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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.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
AI integration with business and social ethics provides a strategic edge in the professional landscape
Strengthens understanding of AI fundamentals, making it accessible to learners with varying backgrounds
Examines ethical dimensions of AI, empowering learners to navigate complex social implications
Explores regulatory environments, preparing learners to adapt to evolving legal frameworks
Provides actionable insights for real-world business applications of AI
Incorporates practical case studies and future projections, enhancing relevance and applicability

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in AI Ethics in Business with these activities:
Review Basic AI Algorithms
Review fundamental AI algorithms such as supervised and unsupervised learning to strengthen your foundational understanding.
Browse courses on AI Algorithms
Show steps
  • Read through course materials related to basic AI algorithms.
  • Complete practice problems or quizzes on AI algorithms.
Review: AI Basics
Prepare for this course by reviewing basic artificial intelligence concepts and laying a solid foundation.
Browse courses on Artificial Intelligence
Show steps
  • Recap different types of AI, such as strong AI and weak AI.
  • Review common AI applications in various fields.
  • Familiarize yourself with fundamental AI algorithms and techniques.
Review and Organize Course Materials
Enhance your understanding by systematically organizing and reviewing course notes, assignments, and other materials.
Show steps
  • Compile all course materials, including notes, lecture slides, and assignments.
  • Organize the materials into logical sections or categories.
  • Review the materials periodically to refresh your knowledge.
Four other activities
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Show all seven activities
Review: 'Ethics of Artificial Intelligence' by S. Russell and P. Norvig
Deepen your understanding by reading a seminal work in the field of AI ethics.
View Human Compatible: Artificial Intelligence and... on Amazon
Show steps
  • Read the book thoroughly and take notes on key concepts and arguments.
  • Critically analyze the authors' perspectives on AI ethics.
  • Consider the implications of the book's insights for your own work or career.
Support AI Ethics Initiatives
Make a practical impact by volunteering your skills to support organizations working on AI ethics.
Show steps
  • Identify organizations or initiatives focused on AI ethics and social responsibility.
  • Contact the organizations and inquire about volunteer opportunities.
  • Offer your skills and expertise to support their projects or campaigns.
Contribute to AI Ethical Guidelines
Engage with the broader AI community by contributing your insights to the development of ethical guidelines.
Browse courses on AI Governance
Show steps
  • Identify existing AI ethical guidelines and frameworks developed by organizations or governments.
  • Review and analyze the guidelines, identifying areas for improvement or expansion.
  • Propose your own suggestions or amendments to the guidelines.
  • Submit your contributions to relevant organizations or forums for consideration.
Develop an AI Ethics Impact Assessment Tool
Apply your knowledge by creating a practical tool to assess the ethical implications of AI projects.
Show steps
  • Research existing methods and frameworks for AI ethics impact assessment.
  • Design and develop a prototype tool that incorporates key ethical considerations.
  • Test and refine the tool using real-world AI case studies or scenarios.
  • Present your tool to experts in the field for feedback and validation.

Career center

Learners who complete AI Ethics in Business will develop knowledge and skills that may be useful to these careers:

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Course image
Effort
6 weeks of study, 1 - 1.5 hours/week
Level
Intermediate
Via
Coursera
Institution
Rutgers the State University of New Jersey
Instructor
Steven Katz
Session
August 5, 2024 - September 16, 2024
Language
English
Transcripts
Español Français Português Deutsch Italiano 中文 العربية 한국어 日本語 हिंदी Nederlands Svenska Pусский Türkçe Polski Ελληνικά українська мова Bahasa Indonesia ไทย қазақша
Good to know
AI integration with business and social ethics provides a strategic edge in the professional landscape
Strengthens understanding of AI fundamentals, making it accessible to learners with varying backgrounds
Examines ethical dimensions of AI, empowering learners to navigate complex social implications
Explores regulatory environments, preparing learners to adapt to evolving legal frameworks
Provides actionable insights for real-world business applications of AI
Incorporates practical case studies and future projections, enhancing relevance and applicability
Share and help others discover this course.
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