Beyond chatbots, virtual assistants, and the evolution of GPS systems, artificial intelligence (AI), machine learning (ML), and the tools behind making it all work are shaping the present and future world. It may feel like these technologies are in the infant stage, and perhaps they are, but #AI and #ML solutions are here to stay. Senior Data Scientist Wilson Rodden sat down with podcast hosts Liz and Marie to chat about how humans are kept in the loop of AI/ML, the common misconceptions behind the technology, and if it's really as dangerous as some people think.

Important Links:

• Meet Travis Oliphant (CEO of OpenTeams & Quansight, the founder of Anaconda, and the creator of NumPy, SciPy, and Numba) for free on Jan. 5: https://bit.ly/3vlQ8Wt
• Wilson Rodden LinkedIn: www.linkedin.com/in/wilson-rodden

Follow Along for More:

• LinkedIn: https://bit.ly/3vlQ8Wt
• Instagram: https://bit.ly/3hRiN2F
• Website: https://bit.ly/3hxHFfe

Timecodes:

1:28 Discussing the fourth anniversary of the IDEA Act

2:40 Five tips for managing stakeholder feedback as a UX'er

7:00 Interview with Data Scientist Wilson Rodden starts

8:50 What is AI/ML?

10:14 What is Big Data?

10:59 What is Predictive Modeling?

11:47 What is Computer Vision?

13:13 Common misconceptions about AI/ML

15:27 How to build trust in the government for AI innovations?

17:38 What is a biased algorithm?

24:34: What does human-in-the-loop mean?

35:22: Discussion on AI in the media

37:36 Is AI dangerous?

41:56: A data scientists' role on your team