The 21st March 2024 United Nations declaration on AI calls for upgraded workspace skills for AI companies and their employees. Below is a list of 10 questions that they need to be able to answer and implement in their AI systems.
- What are the characteristics of human-centric AI systems?
- How do I analyze soft aspects like ethics, bias and privacy while designing AI systems? Is there is a holistic way to do this in compliance with global standards?
- How do I analyse and design AI systems in a human-centric manner?
- How can AI risks to human beings be classified while designing AI systems?
- What are the ML engineering process used in AI analysis, categorization, design and development of AI use cases?
- What are the main aspects of AI Qualitative Requirements that software project managers should know?
- How should Quality Departments supplement their testing capabilities in the AI systems project life cycle?
- What are the milestone based deliverables in an AI/ML project?
- What are the additional phases and tracks required in the AI/ML project life cycle?
- What are the best practices that analysts, developers, data scientists and project managers should adopt while building human-centric AI systems?
For a comprehensive answer to the above questions, kindly refer to my book “Applied-Human-Centric AI’ is available in e-book formats in Kindle Store. https://www.amazon.in/dp/B0CW1D7B88
Paperback https://www.amazon.com/dp/B0CYXHYPHC
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