[email protected] (Sharon Chou, Tom Noser, Ted Noser)
Takeaways
Chapters
00:00Introduction and Recording Confirmation
00:38Background in Physics and Engineering
03:13Research in Material Design and Quantum Physics
04:26Understanding Circuits and Quantum Computing
06:37Transition from Research to Business
11:14Impact of Ideas and Einstein's Equation
13:14Ethics and Risks of Artificial Intelligence
17:15Applications and Limitations of AI
20:39Ethics and Bias in AI Decision-Making
25:24Transparency and Explainability in AI
29:29Data Curation and Bias in AI Models
34:07AI in Mortgage and Loan Decisions
38:15Fairness and Ethics in Lending
38:41Correlation between Higher Education and Earnings
39:21Challenges of Being Blind to Race and Gender
39:49Considerations for Representing Everyone Equally
40:24Ethical Dilemmas of Ignoring Correlations
41:08Product Development and Answering Ethical Questions
41:29Simplifying the Hiring Process
42:02Data-Informed Recruiting and Hiring
43:14Using Data to Find the Right Match
44:24Simplifying the Workflow for Recruiters
45:16Focusing on Skill-Based Factors in Hiring
46:31The Validity of Resumes in Predicting Performance
47:25Factors in Deciding a Good Hire
48:15The Tricky Nature of Job Descriptions
49:05The Importance of Skills and Job Descriptions
50:03The Value of Experience and Starting a Business
51:09The Role of Emotion in Decision-Making
54:02Introducing Scientific Process into Hiring
55:53The Application of AI in the Hiring Process
56:58The Human Element in Decision-Making
58:16Applying the Scientific Method to Business Problems
59:18Learning from Past Research and Being Skeptical
01:00:45Checking Assumptions and Being Discerning