Navigating Generative AI Cautions and Concerns
Navigating Generative AI Cautions and Concerns
What you’ll learn
Skills you’ll gain
Navigating the intricacies of implementing generative AI includes addressing the potential risks and ethical considerations associated with its usage. In this course, Jim Sterne, an author, consultant, and marketing analytics expert, offers his wealth of knowledge and experience in this industry. First, he covers the identification of risks and differentiating generative AI from other computing forms. Next, Jim focuses on addressing operational concerns and implementing robust security measures. Finally, he will explore upholding accountability and addressing biases in AI data. After completing this course, you'll be equipped to effectively manage AI in your professional environments, ensuring ethical compliance and strategic application.
Syllabus
Download syllabus-
1
Understanding the risks Knowing what risks to watch out for will help you ease the concerns your organization may face as they embrace the utilization of generative AI. 2m
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2
Misunderstanding GenAI Differentiating generative AI from other forms of computing enables you to get the most out of generative AI and avoid lack of adoption or misuse. 2m
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3
Operational concerns Addressing concerns of how generative AI may show up in your operations will ensure your organization can anticipate any fears of experimentation. 2m
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4
Finding good data One critical component of using generative AI in your organization includes making sure you're using the right data. 1m
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5
Reviewing AI content Striving for accuracy and relevance in your AI generated content is a crucial aspect of navigating AI concerns. 1m
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6
Addressing security concerns Understanding and mitigating the risks associated with generative AI technologies is a critical aspect of AI safety and integrity. 2m
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7
Enhancing scalability Without a clear grasp of the practical aspects of making generative AI work, it’s impossible to gauge which projects or experiments to attempt. 1m
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8
Improving accountability The ethical use of generative AI is important to a company’s policies and public reputation. 2m
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9
Adapting to job changes Anticipating generative AI's effect on the job market and learning how to alleviate those concerns will help you in your adoption process. 2m
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1
Next steps Congratulations on finishing this course! 1m
Certificate
Certificate of Completion
Awarded upon successful completion of the course.
Instructor
Jim Sterne
Jim Sterne focuses his forty years in sales and marketing on creating and strengthening customer relationships through digital communications. He sold business computers to companies that had never owned one in the 1980s, consulted and keynoted about online marketing in the 1990s, and founded a conference and a professional association around digital analytics in the 2000s. Following his humorous Devil's Data Dictionary, Sterne published his twelfth book, Artificial Intelligence for Marketing: Practical Applications.
Sterne founded the Marketing Analytics Summit (formerly the eMetrics Summit) in 2002, which was the birthplace of the Digital Analytics Association. He served on the DAA Board of Directors for 15 years and is now Director Emeritus.
Jim Sterne
Author, Consultant, and Marketing Analytics Expert
Accreditations
Link to awards
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