Data Science in Context [Book Discussion]

If you haven’t had a chance to join in on our book groups, I strongly recommend you take a look at the upcoming books we are reading! Today we discussed Data Science and Context, which is a relatively academic book by a series of doctors, PhDs, Specter, Norvig, Wiggins and Wing. The book gets into some really fascinating analysis techniques, addressing both the practical and ethical implications of data science applications.

We discuss the biases inherent in the book, the things that are missing and potentially disruptive to the core assumptions of the book. So even if you haven’t read this book, I think you will find the discussion fascinating.

This week I’m keeping our warm up discussion about open AI in the podcast. So you will get about 10 minutes of bonus content before the book group discussion as a warm up and it is very related. Our conversations about what has been going on with open AI, their board and Q* are directly related to the concluding ideas in our discussion about Data Science and Context.

Transcript: otter.ai/u/qYBKNhDBKqaghEaxE-…?utm_source=copy_url
Image: Data Science In Context cover

Identity vs Privacy? Trade-offs required?

How can digital identity be used to build better trust and systems in our daily transactions? There are really significant challenges and consequences to having a national guaranteed identity – a single identity provider.

Knowing who you’re interacting with, in every form, in every situation is not as simple as you might think. There’s a lot of analogues to physical identity that are worth considering.

What would it mean for us to not have privacy? Does identity mean we don’t have privacy in our interactions? Who can we trust and what authority do they have?

Transcript: otter.ai/u/o_43fyGjxu24Ur5rpz…?utm_source=copy_url
Image by Dall-e prompte: a cartoon like image of a humanoid robot looking into a mirror and seeing a masked pirate version of itself

Implementing Biometric Privacy at the Camera?

We start talking about conferences using biometric security, edge detection, and included your right to be forgotten.

In this fascinating conversation, we go into future projections of what it’s going to take for people get privacy including the idea of using AI so face are left out the photographs! Would be possible? If so, what would drive that as potential thing.

We started it humorously thinking about all the cameras and all the biometrics that could be collected during AWS reinvent, which a lot of us will be at, at least in the shadows.

Transcript: otter.ai/u/fqYayHreB9FVPt2SzFFSMu7QAgo
Photo by Cleyton Ewerton from Pexels [ID 5063551]

Do we have a Right To Right for Data & IP?

Right to Repair is the idea that when you buy a product, you’re able to fix it. We’ve been building products lately that don’t have that inherent part of the contract.

In this episode, we really took Right to Repair to another level talking about Intellectual Property (IP) and ownership of that IP in the software components.

This topic impacts every single business and every single consumer!

Transcript: otter.ai/u/7EVT0C9T0KDCcUIWBsGYKHdiT6Y
Photo: Photo by Blue Bird from Pexels [ID 7218008]