Welcome back to our series on artificial intelligence (AI)! Last time, we learned about our interview, Dr. Monica Lopez-Gonzalez, an AI expert based at Johns Hopkins University. She shared with us her work involving AI and the myriad ways that AI has been integrating with society. In this episode, we continue the conversation by first learning where Maryland fits into the picture of AI. Then, we discuss concerns surrounding AI design, development, and deployment and proposed solutions for governing AI.
If you have questions for Dr. LG, you can reach her at her email: mlopezg1@jhu.edu.
(Please note: This episode was recorded towards the beginning of 2022, so some of the information within could be outdated.)
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Links:
Partnership between the Army Research Lab and the University System of Maryland: https://www.csee.umbc.edu/2021/05/umbc-partners-with-umd-army-research-lab-to-advance-ai-and-autonomy-through-68m-collaboration/
Resources to help K-12 educators bring AI education to the classroom: https://ai4k12.org/
National Security Agency (NSA) internships: https://www.intelligencecareers.gov/NSA/nsastudents.html
National Institute of Science and Technology (NIST) summer institutes for middle school teachers: https://www.nist.gov/iaao/academic-affairs-office/nist-summer-institute
Johns Hopkins University AI graduate program: https://ep.jhu.edu/programs/artificial-intelligence/
European Commission Artificial Intelligence Act: https://www.europarl.europa.eu/thinktank/en/document/EPRS_BRI(2021)698792
United States National Artificial Intelligence Initiative: https://www.ai.gov/
China's AI Strategy: https://www.cnas.org/publications/reports/understanding-chinas-ai-strategy
US-EU AI talks: https://abcnews.go.com/Business/wireStory/trade-tech-talks-us-eu-open-pittsburgh-80307486
OECD AI principles: https://oecd.ai/en/ai-principles
Pan-Canadian AI strategy: https://ised-isde.canada.ca/site/ai-strategy/en
European Parliament report on public protections regarding AI: https://www.europarl.europa.eu/doceo/document/A-9-2020-0178_EN.html
Aequitas, an AI open-source bias audit toolkit developed by the University of Chicago: http://www.datasciencepublicpolicy.org/our-work/tools-guides/aequitas/
IBM AI open-source bias audit toolkit: https://developer.ibm.com/articles/the-ai-360-toolkit-ai-models-explained/
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Credits:
Music: 'Lucky Massive Dangerous' by Speck
Editing: Michael Dryzer
Intro & Outro: Michael Dryzer
Interviewer: Michael Dryzer
Interviewees: Monica Lopez-Gonzalez, PhD
With help from the other members of the Sci'more Podcast team!