Summary

On Episode 7 of Season 10 of The Social Change Career Podcast, host Craig Zellzer interviews data policy curation expert, Karla Yee Amezaga. Karla sheds light on the importance of ethical use of technology and handling data, potential harms associated with AI and machine learning technologies, and the future direction of data governance towards better regulation and alignment. The discussion also delves into how organizations may rely on indicators and deliverables to please donors, but they should instead focus on contextual elements and human connections. The podcast also touches on the importance of self-sovereign identity, cross-border data flows, and the need to prioritize equity and inclusion in government services. Tune in to learn about Karla's professional journey, her current role at the World Economic Forum, and the practical applications of her work.

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Key Topics and Bullets

Topics covered in the podcast episode:

1. Ethics and responsible use of technology- Growing concerns about AI and machine learning technologies- Future direction of data governance towards better regulation and alignment across governments- Potential for proactive service delivery by government through the use of data- Opportunities for better insights through multiple data sources like satellites and IoT devices
2. Career path and skills development- Karla's background in data collection and analysis for community needs- Importance of qualitative skills for conveying insights- Work experience in organizations like the World Bank and Interamerican Development Bank- Current role at the World Economic Forum promoting responsible use of technologies- Importance of contextual elements in addition to indicators for measuring success- Networking challenges for people from certain cultures- Tips for improving networking skills and reverse engineering an ideal job in international development- Value of speaking a second language and being flexible to travel- Need to always check sources and cite them when sharing information- Importance of strengthening statistical systems in countries
3.  Decentralized data sharing and personal data ownership - Self-sovereign identity and personal data ownership- World Economic Forum's promotion of cross-border data flows- Data free flow with trust framework for secure and trustworthy data flow- Examples of decentralized data sharing models- Data intermediaries for individuals with low levels of data literacy- Importance of sharing insights instead of raw data
4. Skills for working with data and technology- Empathy as a key skill in dealing with data and technology- Importance of understanding basic coding- Translating data into valuable insights for different audiences- Experience with governments on modernizing the state through digital transformation- Importance of responsible and user-centered design- Identifying potential risks and benefits of implementing technologies in government- Ensuring equity and inclusion in digital and data services

 

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