Its age provides insights into utilizing AI for business. It addresses practical applications and challenges related to AI. The age covers topics such as understanding AI, machine learning, data analysis, organizational changes, and practical execution. If you’re interested, you can find more information about the book here. Unfortunately, I don’t have the capability to display images directly, but you can explore the book cover and content on the provided link.
Curriculum
- 2 Sections
- 12 Lessons
- 10 weeks
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- 00 IntroductionWe are able to emphasizes that trust is more crucial than AI itself. Building trust with customers, stakeholders, and employees is essential for successful AI implementation. Trust ensures ethical use, transparency, and long-term benefits7
- 2.0AI application and deep fake
- 2.1Can you provide more examples of trust challenges related to AI?
- 2.2What are some strategies to enhance transparency in AI decision-making?
- 2.3Can you explain more about ethical data collection for AI?
- 2.4What are some real-world examples of transparent AI systems?
- 2.5How can organizations address biases in existing datasets?
- 2.6Can you share examples of successful debiasing techniques for existing datasets?
- 01 What is AI?5
- 3.0The definition of AI
- 3.1What is the opinions of experts in five ways whether it is okay to do something deep learning and start a new business based on big data even if thousands of people work together?
- 3.2Is it a vain delusion to think that relying on AI and data technology will solve the problem even though there are many things that need to change in terms of corporate nature?
- 3.3Can you elaborate on the ethical considerations related to using AI technology in companies?
- 3.4What are some real-world examples of companies successfully addressing bias in their AI systems?
