AI Ethics & Responsible Use of Generative AIPublished 9/2026
Created by SATCOM & Technology School
MP4 |
Video: h264, 1920x1080 |
Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels |
Genre: eLearning |
Language: English |
Duration: 13 Lectures ( 1h 39m ) |
Size: 1.4 GB
⚡ Understand the core ethical principles and risks involved in the responsible use of generative AI
⚡ Identify and reduce risks related to AI bias, misinformation, privacy, sensitive data, and synthetic media.
⚡ Apply responsible practices for using generative AI in education, creative work, and the workplace.
⚡ Evaluate AI-generated outputs using verification, human oversight, accountability, and risk-based safeguards.
⚡ Recognize how bias can enter generative AI systems and lead to unfair or unequal outcomes
⚡ erify AI-generated claims and recognize the risks of hallucinations, misleading content, and synthetic media
⚡ Protect privacy and sensitive information when interacting with generative AI tools
⚡ Understand authorship, attribution, plagiarism, and ownership issues in AI-assisted creative work
⚡ Determine when human oversight is necessary based on the potential consequences of an AI-assisted decision
⚡ Use a practical framework to assess AI use before, during, and after interacting with a generative AI system
Requirements❗ No prior knowledge of artificial intelligence or AI ethics is required
❗ No technical or programming experience is needed
❗ An interest in using generative AI responsibly in everyday, academic, or professional contexts is helpful
DescriptionThis course contains the use of artificial intelligence.
Generative AI is changing how we work, learn, create, communicate, and make decisions. But using these systems responsibly requires more than knowing how to write a good prompt.
This course provides a practical introduction to
AI ethics and the responsible use of generative AI. You will learn how to recognize important risks, evaluate AI-generated content critically, and make better decisions about when and how these tools should be used.
The course explores
bias and fairness, including how unequal patterns can appear in generated text, images, recommendations, translations, and automated assistance. You will examine
AI hallucinations and reliability, learning why confident AI-generated answers are not necessarily accurate and how important claims should be verified.
You will also explore
synthetic media, AI-generated images and audio, privacy and meaningful consent, intellectual property and attribution, and the responsible use of AI in education and the workplace.
Rather than treating AI ethics as a collection of abstract principles, the course focuses on practical situations and decisions. You will learn how to identify potential harms, consider who may be affected, determine when human oversight is necessary, and apply appropriate safeguards.
By the end of the course, you will be able to
✨ Recognize common ethical risks associated with generative AI.
✨ Identify bias and potentially unfair AI-generated outputs.
✨ Evaluate AI-generated claims and verify important information.
✨ Understand the risks associated with hallucinations and synthetic media.
✨ Consider privacy, consent, ownership, and attribution.
✨ Apply human oversight according to the potential consequences of an AI-assisted decision.
✨ Use a practical framework for more responsible AI use.
No technical background in artificial intelligence or machine learning is required. The course is designed for
professionals, students, educators, managers, and anyone who uses generative AI tools and wants to use them more responsibly.Who this course is for⭐ Professionals who use or plan to use generative AI tools in the workplace
⭐ Students and educators interested in the ethical and responsible use of generative AI
⭐ Managers and team leaders who need to understand AI risks, accountability, and human oversight
⭐ Content creators and other professionals using AI to assist with writing, images, research, or creative work
⭐ Anyone interested in understanding how to use generative AI safely, ethically, and responsibly
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