AI Ethics in Business
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What you'll learn
Understand AI Basics and Applications ; Navigate Ethical and Regulatory Landscapes ; Apply AI-Ethics in Practical Scenarios
Skills you'll gain
- Information Privacy
- Artificial Intelligence
- Regulatory Compliance
- Case Studies
- Data Ethics
- Governance
- Business Management
- Compliance Training
- Law, Regulation, and Compliance
- Business Strategies
- AI literacy
- Artificial Intelligence and Machine Learning (AI/ML)
- Regulatory Requirements
- Ethical Standards And Conduct
- Compliance Management
- Responsible AI
- Decision Intelligence
- Business Ethics
- Social Justice
Tools you'll learn
Details to know
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There are 5 modules in this course
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).
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
2 videos•Total 9 minutes
- Introduction to AI ethic•3 minutes
- What is AI•6 minutes
3 readings•Total 50 minutes
- Welcome to Your Journey into AI and Ethics•10 minutes
- Alan Turing and the Imitation Game•20 minutes
- Strong vs Weak AI•20 minutes
2 assignments•Total 23 minutes
- Foundations of AI Ethics•20 minutes
- Practice: Foundations of AI Ethics•3 minutes
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
2 videos•Total 12 minutes
- Exploring AI Applications•7 minutes
- Ethical Considerations in AI•5 minutes
2 assignments•Total 18 minutes
- Basic knowledge of AI and Ethical Implication•15 minutes
- Practice: Understanding AI and Ethical Implication•3 minutes
1 discussion prompt•Total 20 minutes
- Training an AI or a person•20 minutes
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
4 videos•Total 23 minutes
- Fairness of AI Ethics•3 minutes
- Accountability of AI Ethics•6 minutes
- Privacy Concerns in AI Ethics•8 minutes
- Transparency in AI Ethics•6 minutes
1 reading•Total 30 minutes
- Fairness in AI •30 minutes
2 assignments•Total 26 minutes
- Ethical Challenges•20 minutes
- Practice: Core Ethical Challenges in AI•6 minutes
1 discussion prompt•Total 15 minutes
- Using ChatGPT to complete school assignments?•15 minutes
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
2 videos•Total 12 minutes
- Ethics Regulation Models•6 minutes
- Case example•6 minutes
1 reading•Total 15 minutes
- AI Regulation in 2024•15 minutes
2 assignments•Total 25 minutes
- Regulatory Frameworks and Case Studies•20 minutes
- Practice: Regulatory Frameworks and Case Studies•5 minutes
1 discussion prompt•Total 20 minutes
- Self-driving Cars •20 minutes
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
4 videos•Total 20 minutes
- AI in Robotics and Autonomous Freight•6 minutes
- AI's Role in Translation and Transcription•6 minutes
- Future Implementation Strategies for AI•5 minutes
- Monitoring AI: Consequences and Conclusion•4 minutes
3 assignments•Total 73 minutes
- The Future of AI and Ethical Considerations •20 minutes
- Final Exam•50 minutes
- Practice: The Future of AI and Ethical Considerations •3 minutes
1 discussion prompt•Total 20 minutes
- Copyright•20 minutes
Instructor
Explore more from Business Essentials
- Status: PreviewJ
John Wiley & Sons
Course
- Status: PreviewS
SkillUp
Course
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