Course Overview:
This session addresses ethical issues in AI marketing, including data privacy, bias, and transparency. It examines real-world examples of AI misuse and introduces frameworks for responsible AI implementation.
Course Objectives:
- Recognize ethical challenges in AI marketing.
- Understand frameworks for responsible AI use.
Upon the completion of this course, the participant will be able to:
- Identify potential risks and ethical pitfalls in AI marketing.
- Apply practical strategies to ensure responsible AI practices.
Course Outline:
- Data privacy, bias, and transparency in AI.
- Frameworks for responsible AI and case studies.
Delivery Method:
In-Person Classes
Target Audience Level:
Middle-level management
Trainer's Profile/Brief:
Dr Tornike Khoshtaria is an experienced academic and programme leader with a background in digital marketing, higher education, and quality assurance. He currently leads the MSc Digital Marketing programme at QFBA Northumbria University in Doha. With several years of involvement in international accreditation processes, Tornike has contributed to enhancing academic standards and programme quality across various institutions. His research interests include AI in marketing, digitalisation in higher education, and sustainable consumption, and he has published work in reputable academic journals. He is passionate about combining innovative teaching approaches with practical industry insights to prepare students for future challenges.
