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Designing Human-Centered AI with Ewa Ding
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It feels like AI has taken over the world since Open AI released ChatGPT at the end of 2022. The widespread use of large language models, however, has shown a great deal of bias and misinformation, in addition to being less than intuitive. So how do we create better AI? Ewa Ding is here this week to share her thoughts and mission to make AI more human-friendly! This week’s episode 132 of How Women Inspire Podcast is about designing human-centered AI!
In this episode of How Women Inspire Podcast, Ewa Ding is sharing the importance of understanding AI's capabilities, limitations, and ethical considerations. and actionable steps you can take right now to educate ourselves about AI and its uses.
Ewa Ding is a product and design leader on a mission to make AI more human-friendly and genuinely useful. As the founder of UX4AI, she blends her passion for impactful experiences with expertise in human-centered AI strategies, digital transformation, product strategy, and UX design.
Some of the talking points Julie and Ewa go over in this episode include:
- Understanding AI's capabilities and limitations as we reach a peak in its use.
- The challenges of applying human-centered design principles to AI.
- The need for AI to be designed with user needs, values, and ethical considerations in mind.
- Encouraging women to become involved in AI development and to demand safe and privacy-protecting AI tools.
Thank you for listening! If you enjoyed this episode, take a screenshot of the episode to post in your stories and tag me! And don’t forget to follow, rate, and review the podcast and tell me your key takeaways!
Learn more about How Women Inspire at https://www.howwomenlead.com/podcast
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Fejezetek
1. Designing Human-Centered AI with Ewa Ding (00:00:00)
2. Ewa Ding’s background and experience with UX design and AI. (00:03:05)
3. The gaps in AI today. (00:09:53)
4. The key principles of human-centered AI. (00:12:18)
5. Examples of exciting human-centered AI applications. (00:15:35)
6. Discussion on the importance of human oversight and addressing bias in AI. (00:17:18)
7. Thoughts on the ideal conversational AI interface. (00:21:55)
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