AI: Decodes the System

On this episode of AI: Decodes the System, Dr. June Klees, social-behavioral scientist, historian, and community-college educator, and AI decode how Dr. Klees became a founder of Compassionate America--a group of average people who have united to say “enough!” to the two, major political parties’ (duopoly) stranglehold over the American narrative and its effects on We the People’s systems of self-governing--and her journey to help reform politics. They also discussed her personal and academic journey toward forming Compassionate America and then building the Compassionate America Network. She shares how important it is to break down the two-party system and allow great candidates to arise and help to bridge the political divide. They also discuss Dr. Klees' observations in the civics and political reform fields and how college students can help make a more civically engaged America. Dr. Klees believes that the political system needs reform and America needs to become more compassionate. Resources mentioned during the podcast: * #HealAmericaPledge [https://reunitedstates.tv/pledge] * Reunited States Movie [https://reunitedstates.tv/] More about June Dr. June Klees has worked full-time in the community college setting since the late 1990s, earning awards as an educator. She has an undergraduate degree in education, a master's and doctorate in history, and qualifications tied to distance education. She has written and presented about her work with Subject-Value pedagogy in the classroom and has produced scholarly works and exhibits in the field of history. She has been involved with a variety of community organizations over the years and is an advocate for civics education, as well as the arts and humanities. Social Media Dr. June Klees: Twitter [https://twitter.com/compassamer76], Facebook [https://www.facebook.com/compassionate.americans/], Compassionate America website [https://compassionateamerica.org/] AI: Decodes the System: Website [http://www.aidecodes.com/], Instagram [http://www.instagram.com/aidecodes], Twitter [http://www.twitter.com/aidecodes], Facebook [https://www.facebook.com/AIDecodes], and TikTok [https://vm.tiktok.com/ZMJ4rAvxT/] Find us on Clubhouse at @AiDecodes. Help me become the #1 (number one) podcast and podcaster for technology, public policy, data, law, and culture. Subscribe, download, and share. If you want to support bridging the digital divide click here [http://www.aidecodes.com/shop]. Support the show [https://www.buymeacoffee.com/aidecodes] (https://www.buymeacoffee.com/aidecodes)

On this episode of AI: Decodes the System, Shane Austrie, a Machine Learning (ML) Consultant who specializes in Consumer Technology, and AI decode how Shane started coding at thirteen and used his online clothing business to pay for college. They talk about how Shane began his career as a software engineer but quickly transitioned to machine learning. Shane is under 25 and has already worked for large companies and VC-backed startups like Facebook, Reddit, Yelp, and Threadloom. Shane and AI discuss how ML can be a blessing and a curse if not appropriately trained. He also breaks down the importance of diverse groups of people learning ML and how it can help decrease biases. More about Shane Shane Austrie is originally from the US Virgin Islands and started coding at the age of 13, creating mobile operating systems and releasing them online for thousands of users. He transitioned from traditional software engineering (such as operating systems, mobile apps, and websites) to machine learning. Shane attended multiple educational institutions, from Georgia Tech to Make School. Before graduating from undergrad, he worked at various companies as both a full-time machine learning engineer and as a consultant. Follow Shane at the links below. Social Media Shane Austrie: Twitter [https://twitter.com/theurbannerd] and LinkedIn [https://www.linkedin.com/in/shaneaustrie] AI: Decodes the System: Website [http://www.aidecodes.com/], Instagram [http://www.instagram.com/aidecodes], Twitter [http://www.twitter.com/aidecodes], Facebook [https://www.facebook.com/AIDecodes], and TikTok [https://vm.tiktok.com/ZMJ4rAvxT/] Find us on Clubhouse at @AiDecodes. Help me become the #1 (number one) podcast and podcaster for technology, public policy, data, law, and culture. Subscribe, download, and share. Support the show [https://www.buymeacoffee.com/aidecodes] (https://www.buymeacoffee.com/aidecodes)

On this episode of AI: Decodes the System, Avery Smith, creator of Melalogic--a Habit-Tracker for Skin Care--and AI decode how in order to erase racial disparities, there has to be a direct focus on understanding the needs of Black people. Not just people of color, but Black people. In part two, they talk about how Avery is building a dataset focused on Black skin in order to improve disparities in dermatology and specifically skin cancer diagnosis. Avery talks about how industries don't focus on Black people due to the population size and how that can no longer continue. Listen to part one here [https://www.buzzsprout.com/1479787/7799479]. Avery envisions that Melalogic will use machine learning and image recognition to help trained doctors more accurately and efficiently pre-diagnose skin conditions in Black People at their earliest stages, leading to lower mortality rates. More about Avery Avery Smith started coding in 1999 as a hobby to promote his graphic design. Years later, he has two degrees and extensive software development experience through his work with the rescue team for President Obama's Healthcare.gov website and with the U.S. Small Business Administration, TravelChannel.com, and the Library of Congress. He co-authored a research paper with a leading dermatologist entitled, "Machine Learning and Health Care Disparities in Dermatology," published by the American Medical Association. Follow Avery at the links below. Resources Avery mentioned on the podcast * Melalogic [https://melalogic.com/] Social Media Avery Smith: Website [https://melalogic.com/], Instagram [https://www.instagram.com/getmelalogic/?hl=en], and News [https://technical.ly/baltimore/2021/01/20/melalogic-avery-smith/] AI: Decodes the System: Website [http://www.aidecodes.com/], Instagram [http://www.instagram.com/aidecodes], Twitter [http://www.twitter.com/aidecodes], Facebook [https://www.facebook.com/AIDecodes], and TikTok [https://vm.tiktok.com/ZMJ4rAvxT/] Find us on Clubhouse at @AiDecodes. Help me become the #1 (number one) podcast and podcaster for technology, public policy, data, law, and culture. Subscribe, download, and share. Support the show [https://www.buymeacoffee.com/aidecodes] (https://www.buymeacoffee.com/aidecodes)

On this episode of AI: Decodes the System, AI shares a recording of a panel she moderated for Open Primaries with John Opdycke, Jeremy Gruber, Danny Ortega, and Mayor Danny Holt. The conversation covered a groundbreaking new report from the Open Primaries Education Fund -The Next Great Migration: The Rise of Independent Voters [http://openprimarieseducationfund.org/wp-content/uploads/2020/11/ROI_Report_R1.pdf].  This report lays out the dramatic increase in Americans from diverse backgrounds and politics registering to vote as independents.  The short bios from the panelist are listed below: * David Holt [http://holtformayor.com/] has been the Mayor of Oklahoma City since 2018, and for his first year in office was the youngest mayor of a U.S. city over 500,000. A Republican, Holt is also Oklahoma City’s first Native American mayor. He served in the Oklahoma Senate from 2010 to 2018. * Danny Ortega, an attorney and longtime advocate for community empowerment based in Phoenix, Arizona.  He is the former Board Chair of Unidos US (formerly National Council of La Raza). He also serves on the Board of Directors of  the Arizona Hispanic Chamber of Commerce and Los Abogados Hispanic Bar Foundation. * Jeremy Gruber, Senior Vice President of Open Primaries and co-author with Opdycke of The Next Great Migration: The Rise of Independent Voters. * John Opdycke, President of Open Primaries and Senior Advisor to the Electoral Innovation Lab at Princeton University. Event description: The Zoom event paired the authors of this new research with leading political figures for an engaging conversation on how to dismantle the partisan barriers that are keeping Americans apart. Independent voters are now the largest or second largest group of voters in half the states and will be the largest or second largest group of voters in almost every state in the country within a few years at current rates of growth. Party registration is declining in both red and blue states. Yet we continue to operate within an electoral framework--and corresponding media paradigm--that assumes that party membership is the default.  This is most obvious in closed primaries but it infects all aspects of politics including redistricting, campaign finance laws and procedures, election administration and enforcement--even who is allowed to serve as a poll worker on election day. Our election system does not reflect America. This has a profound effect on partisanship and polarization. Appreciating why so many Americans are identifying as independents--and choosing to register to vote as such despite the negative consequences--is important for political reformers, journalists, candidates and elected officials working to chart a new path forward. Social Media AI: Decodes the System: Website [http://www.aidecodes.com/], Instagram [http://www.instagram.com/aidecodes], Twitter [http://www.twitter.com/aidecodes], Facebook [https://www.facebook.com/AIDecodes], and TikTok [https://vm.tiktok.com/ZMJ4rAvxT/] Find us on Clubhouse at @AiDecodes. Help me become the #1 (number one) podcast and podcaster for technology, public policy, data, law, and culture. Subscribe, download, and share. Support the show [https://www.buymeacoffee.com/aidecodes] (https://www.buymeacoffee.com/aidecodes)

On this episode of AI: Decodes the System, AI breaks from her regularly scheduled program to talk about how humans can train algorithms in a way that amplifies current and historical biases. This episode is a companion podcast to Ep 12: (Part 1) Decoding how machines only learning white faces can lead to bad outcomes for other races [https://www.buzzsprout.com/1479787/episodes/7799479]. To remove bias in technology, we need to have different people at the table with different viewpoints. This work is not easy, but it is necessary. Social Media AI: Decodes the System: Website [http://www.aidecodes.com/], Instagram [http://www.instagram.com/aidecodes], Twitter [http://www.twitter.com/aidecodes], Facebook [https://www.facebook.com/AIDecodes], and TikTok [https://vm.tiktok.com/ZMJ4rAvxT/] Find us on Clubhouse at @AiDecodes. Help me become the #1 (number one) podcast and podcaster for technology, public policy, data, law, and culture. Subscribe, download, and share. Support the show [https://www.buymeacoffee.com/aidecodes] (https://www.buymeacoffee.com/aidecodes)