The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Machine Learning as a Software Engineering Enterprise with Charles Isbell - #441
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Dec 23, 2020 In this engaging discussion, Charles Isbell, Dean at Georgia Tech's College of Computing and an expert in interactive machine learning, dives into the transformative power of education in tech. He highlights the success of Georgia Tech's online Master's program, boasting over 11,000 students. The conversation explores the crucial need for diverse voices in AI and reflects on the systemic biases within machine learning. Isbell also emphasizes embedding ethics into engineering education, advocating for a balance between technological advances and human values.
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ML as a Software Engineering Enterprise
- Machine learning experts often focus too narrowly on algorithms.
- They must broaden their perspective to consider real-world impact, acting as software engineers, programming language nerds, and ethnographers.
Think Like a Software Engineer
- Consider the entire system, including data sources and model deployment.
- Involve stakeholders and domain experts throughout the process.
Diversity Improves Outcomes
- Diverse teams produce better outcomes, even if less comfortable.
- Include diverse voices as machine learning experts, not just domain consultants.
