Podcast – Episode 14:
Humanizing AI
The future is not all AI dystopia & terminator (creating technology ethics, transparency, and fairness)
You hear a lot about AI. It’s a bit of a buzz word, right?! Often misused and misreported. One area that is starting to get a lot of debate space is the ethics around this mystifying and still futuristic technology. It’s an important subject that is starting to have an impact on our everyday lives. As we all know, the world we live in is full of data, and it’s creating more and more consistently and relentlessly. With big data comes opportunities to be one step ahead, to help, to enhance human life, and on the dark side, oppress and control. So the subject of ethics around this subject is an important one. One that we should all take heed of. Especially us tech leaders out there.
“I believe that the [AI] future is imminent and we all think about the future in multiple ways… Some of us think about the utopian future. Some of them think about a dystopian future … ”
Swathi Young shares her expertise in this Podcast, her hopes, and her vision for AI. Especially around the ethics and impact it has on us humans now, and in the future. Swathi is an expert in the field of ethics and AI. In fact, at the time of the recording of this Podcast, she was currently working with the US Government creating an ethics framework for this emergent technology.
Key takeaways from the Podcast are:
- What is Humanizing data?
- How can we start considering the ethics of AI?
- What is ‘Sentiment Analysis’?
- Tips for tech leaders on where to start when considering AI in their products and organizations
TLDR: Straight to the point
(Quick Links)
We all live busy lives, and sometimes a long Podcast is too much of a time-footprint for our busy schedules. So, to help you get to the bit you’re more interested in, use our table of contents below. Quick links to help you get straight to the point.
2. Introducing the guest: Swathi Young
3. What is Humanizing AI
4. Talking about the AI Terminator (elephant) in the room
5. The skills of the future with AI in the space (do we know what they will be)
6. Everything gets disrupted! Embrace it! (the disruption of AI)
7. We will always need the human touch
8. Are leaders and end customers embracing the change now that AI has passed the AI hype cycle
9. Use cases for AI (not everyone is aware of the practical ones)
10. How can data be humanized and what does it mean to me as a person or individual? OK, so we about humanizing the data
11. Humanizing data is not a linear path
13. As a tech leader, where do you start to humanize the data for AI/ML
14. Ethics in AI is not just a technology problem
15. How can you make AI development easy (and not so costly)
16. The ethics of AI (Ethical AI framework Swathi is working on for the US Government)
17. Will we be able to rate a AI implenetation on ethic (fairness, transparency)
18. How do we avoid going down AI rabbit holes
19. An example of going down a huge rabbit hole
20. Swathi's hope for the future
21. Swathi's key takeaway for the tech leaders out there
22. Outro and TC Gill reflection