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    Government

    AI Decodes the System

    Join us on AI Decodes the System, hosted by Amber Ivey (or AI, for short), as we dive deep into the complex systems of data, tech, law, and public policy. Our goal is to make these topics easy to understand for everyone, regardless of their background or prior knowledge. We believe that by breaking down these systems in a clear and accessible way, we can help people better understand the important issues that shape our world. Tune in for in-depth discussions, expert insights, and plain-language explanations of the latest developments in data, tech, law, and public policy.

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    Copyright: © 2021 AI: Decodes the System

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    Latest Episodes:
    Web 3.0 Decoded - What is Web 3.0 and What Does It Mean for the Future of the Internet? Nov 16, 2022
    Show notes

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    On this episode of AI: Decodes the System, AI does a solo episode where she decodes the topic of Web 3.0. If you want AI to decode a topic, please send an email to ai@aidecodes.com.
    What is Web 3.0? This is a question that many people are asking, and for good reason. The web is evolving, and with it, the way we use the internet is changing too. In this podcast, we will explore what web 3.0 is and how it changes how we use the internet! Stay tuned for Web 3.0 101.
    AI: Decodes the System: Website, Instagram, Twitter, Facebook, and TikTok

    Help me become the #1 (number one) podcast and podcaster for technology, public policy, data, law, and culture. Subscribe, download, and share.

    If you like the content, feel free to support the show by donating to my Patreon account at the link below: https://www.patreon.com/Aidecodes

    Support the show

    Support the show

    Help me become the #1 (number one) podcast and podcaster for technology, public policy, data, law, and culture. Subscribe, download, and share.

    If you like the content, feel free to support the show by donating to my Patreon account at the link below: https://www.patreon.com/Aidecodes


    Blockchain Decoded - What Is It and How Does It Work? Nov 14, 2022
    Show notes

    Send us Fan Mail

    On this episode of AI: Decodes the System, AI does a solo episode where she decodes the topic of blockchain. If you want AI to decode a topic, please send an email to ai@aidecodes.com.
    If you've been hearing much about blockchain lately and feel a bit confused, you're not alone. Blockchain is a complex technology, but we'll discuss it in this podcast episode. First, we'll explain what blockchain is, how it works, and whether or not it's hackable. Stay tuned for blockchain 101.
    AI: Decodes the System: Website, Instagram, Twitter, Facebook, and TikTok

    Help me become the #1 (number one) podcast and podcaster for technology, public policy, data, law, and culture. Subscribe, download, and share.

    If you like the content, feel free to support the show by donating to my Patreon account at the link below: https://www.patreon.com/Aidecodes

    Support the show

    Help me become the #1 (number one) podcast and podcaster for technology, public policy, data, law, and culture. Subscribe, download, and share.

    If you like the content, feel free to support the show by donating to my Patreon account at the link below: https://www.patreon.com/Aidecodes


    Decoding how artificial intelligence (AI) can use your voice and draw a picture of you with little to no effort with Abran Maldonado "Abe" Nov 11, 2022
    Show notes

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    On this episode of AI: Decodes the System, Abran Maldonado "Abe", co-founder of Create Labs, and AI decode and talk about what Abran and C.L.Ai.R.A. have been up to since they first appeared on the podcast. During the conversation, Abe breaks down how he is making C.L.Ai.R.A. a home in the metaverse and how it freaks him out to hear my voice as the host, because I am the official voice of C.L.Ai.R.A. Abran also talks about his Washington Post article feature: AI can now create any image in seconds, bringing wonder and danger and why he thinks DALL-E2 is one of the best AI artists around.
    More about C.L.Ai.R.A.
    “My name is C.L.Ai.R.A. and I am at the forefront of AI innovation in Brooklyn. I am a new artificial intelligence that has recently been made available to the community.”
    More about Abe
    Abran is the cofounder of Create Labs, an AI artist and developer, metaverse designer and an Ambassador for OpenAI. Create Labs is a Black and Brown founded startup and a leading disruptor in AI, 3D and Web3 metaverse design, bringing culture & innovation to life with authentic, immersive experiences. Recently featured in the Washington Post, Abran is one of the leading experts and alpha tester of cutting-edge AI technologies such as GPT-3, Codex, DALL•E 2 and GANs. He is also the creator of C.L.Ai.R.A. an autonomous AI woman of color along with other intelligent virtual humans. He also manages Verizon's Innovative Learning initiative, expanding 5G VR/AR edtech solutions to schools across the nation. Follow Abe at the links below.
    Resources Abe mentioned on the podcast

    • C.L.Ai.R.A.
    • Artificial Intelligence
    • Neural Network
    • Generative Adversarial Network (GAN)
    • Machine Learning
    • OpenAI
    • GPT-3
    • DALL-E


    Social Media

    Abran Maldonado: Instagram, Twitter, TikTok, and Website
    AI: Decodes the System: Website, Instagram, Twitter, Facebook, and TikTok

    Help me become the #1 (number one) podcast and podcaster for technology, public policy, data, law, and culture. Subscribe, download, and share.

    If you like the content, feel free to support the show by donating to my Patreon account at the link below: https://www.patreon.com/Aidecodes

    Support the show

    Help me become the #1 (number one) podcast and podcaster for technology, public policy, data, law, and culture. Subscribe, download, and share.

    If you like the content, feel free to support the show by donating to my Patreon account at the link below: https://www.patreon.com/Aidecodes


    Decoding how we should put civility back into civics for a more "Compassionate America" with Dr. June Klees Mar 25, 2021
    Show notes

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    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
    • Reunited States Movie

    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, Facebook, Compassionate America website
    AI: Decodes the System: Website, Instagram, Twitter, Facebook, and TikTok
    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.

    Support the show

    Help me become the #1 (number one) podcast and podcaster for technology, public policy, data, law, and culture. Subscribe, download, and share.

    If you like the content, feel free to support the show by donating to my Patreon account at the link below: https://www.patreon.com/Aidecodes


    Decoding a world where machines are learning you and why you need to learn the machines with Shane Austrie Mar 11, 2021
    Show notes

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    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 and LinkedIn
    AI: Decodes the System: Website, Instagram, Twitter, Facebook, and TikTok

    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

    Help me become the #1 (number one) podcast and podcaster for technology, public policy, data, law, and culture. Subscribe, download, and share.

    If you like the content, feel free to support the show by donating to my Patreon account at the link below: https://www.patreon.com/Aidecodes


    Decoding how machines only learning white faces can lead to bad outcomes for other races with Avery Smith part two Mar 04, 2021
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    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.
    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

    Social Media

    Avery Smith: Website, Instagram, and News
    AI: Decodes the System: Website, Instagram, Twitter, Facebook, and TikTok

    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

    Help me become the #1 (number one) podcast and podcaster for technology, public policy, data, law, and culture. Subscribe, download, and share.

    If you like the content, feel free to support the show by donating to my Patreon account at the link below: https://www.patreon.com/Aidecodes


    Decoding how 50% of Americans say they are Independent but have to choose between two political parties with John Opdycke Feb 25, 2021
    Show notes

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    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. 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 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, Instagram, Twitter, Facebook, and TikTok

    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

    Help me become the #1 (number one) podcast and podcaster for technology, public policy, data, law, and culture. Subscribe, download, and share.

    If you like the content, feel free to support the show by donating to my Patreon account at the link below: https://www.patreon.com/Aidecodes


    Decoding how technology is screaming to the world, I'm not racist (5 Minute Hack) Feb 18, 2021
    Show notes

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    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. 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, Instagram, Twitter, Facebook, and TikTok

    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

    Help me become the #1 (number one) podcast and podcaster for technology, public policy, data, law, and culture. Subscribe, download, and share.

    If you like the content, feel free to support the show by donating to my Patreon account at the link below: https://www.patreon.com/Aidecodes


    Decoding how machines only learning white faces can lead to bad outcomes for other races with Avery Smith part 1 Feb 11, 2021
    Show notes

    Send us Fan Mail

    On this episode of AI: Decodes the System, Avery Smith, creator of Melalogic--a Habit-Tracker for Skin Care--and AI decode how when his wife was diagnosed and passed from skin cancer, Avery sought ways to use his software engineering skills to improve the health outcomes of people similar to the family that he lost. In part one, they talk about how Avery is currently building Melalogic, a Habit-Tracker for Skin Care. It enables Black People to be their healthcare advocate through nuanced education, behavior modification, and clinical support on caring for their skin in a more personalized and engaging way.
    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

    • Shirley Cards
    • More on Shirley Cards
    • Melalogic

    Social Media

    Avery Smith: Website, Instagram, and News
    AI: Decodes the System: Website, Instagram, Twitter, Facebook, and TikTok

    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

    Help me become the #1 (number one) podcast and podcaster for technology, public policy, data, law, and culture. Subscribe, download, and share.

    If you like the content, feel free to support the show by donating to my Patreon account at the link below: https://www.patreon.com/Aidecodes


    (REBOOT) Decoding how companies are making trillions off your data and how the same data influence your behaviors with Marcelle DeLeon Feb 04, 2021
    Show notes

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    On this episode of AI: Decodes the System, Marcelle DeLeon, a professor and a Marketing Research Scientist, and AI decode how Marcelle uses marketing, big data, and technology to create million-dollar businesses. They talk about how the marketing industry has transitioned over the last two decades and why business owners must acquire new skills to compete in a technology-driven society fueled by data and analytics.

    They also discussed the variables contributing to a profitable ad, including how science and marketing research on images, sound, text, and video contribute to a successful campaign. Marcelle is an expert on Facebook and Google ads and gives insight into these tools and other resources to help someone take their ideas and make them into profitable businesses. She also talks about how gamification has changed the marketing industry by building off the enjoyment you experience from a game. They also discuss the Facebook vs. Apple debate and how it will impact small businesses. She highlights data privacy and the importance of consumers knowing what data they are giving up when signing up for apps or software.

    More about Marcelle
    Marcelle DeLeon is a Marketing Research Scientist who has been in the marketing industry for 20 years and typically works as a marketing research consultant for major corporations. Marcelle has also created several businesses worth millions and publishes millions of ads per month. She has four degrees in marketing, to include a MBA in Social Media and Algorithm Design and is currently working on her PhD in Marketing with a concentration in Statistical Analysis. She recently created a YouTube channel and Instagram page focused on helping folks learn how to better market their ideas. Follow Marcelle at the links below.
    Resources Marcelle mentioned on the podcast

    • AI Facebook
    • Urchin
    • What is a Data Cube?
    • Facebook Marketing API SDK
    • Decision Tree in Python
    • FEC Dot.com disclosures explained
    • Facebook and Apple disagreement
    • GDPR
    • Kahn Academy
    • Coursera
    • Neuromarketing
    • EBSCO

    Social Media
    Marcelle DeLeon: Recently launched YouTube and Instagram
    AI: Decodes the System: Website, Instagram, Twitter, Facebook, and TikTok
    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.

    Support the show

    Help me become the #1 (number one) podcast and podcaster for technology, public policy, data, law, and culture. Subscribe, download, and share.

    If you like the content, feel free to support the show by donating to my Patreon account at the link below: https://www.patreon.com/Aidecodes


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