Hardware Podcasts

306: What Is in the Magic Box?

Embedded.fm · 17 Oct 2019 · 1h 02m · Episode 306

What this episode covers

Dr. Loretta Cheeks, an AI consultant and founder of the nonprofit Strong Ties, explains her research on detecting implicit bias in unstructured text using machine learning. She details her methodology, which involves analyzing news articles to identify framing and bias intensity, and discusses her background in industry at companies like Honeywell and General Dynamics before earning her PhD. Cheeks also describes her STEAM outreach programs, which use culturally relevant tools like hip hop and coding to engage underserved youth in STEM fields.

Most relevant to

early-stage companies

Topics

Mentioned

Companies
Strong Ties, Honeywell, General Dynamics, Adobe, Arizona State University, InterWorking Labs
Products
Bina, Turner for Steam, Steam and Global Citizenship Program
Also
Q learning, TFIDF, LSTM

Related episodes from other shows

Other shows on the same ground, closest first.

  • EE Times Current · 16m

    Google I/O | AI Fairness and Women in Tech9

    Rick Merritt and Dylan McGrath discuss Google I/O, highlighting Sundar Pichai's focus on privacy and on-device AI, alongside new Pixel and Home Display hardware. Junko Yoshida introduces EE Times' special project on AI fairness, exploring how biased training data and 'black box' algorithms can lead to discriminatory outcomes in high-stakes areas like lending. Sally Ward Foxton details how financial institutions use machine learning for credit scoring, noting that while tools like S Finance's game theory models exist to tune for fairness, banks often prioritize profit over equity. Finally, Junko and McGrath reflect on VerveCon, a women-focused tech conference, discussing the unique career challenges and resilience required for women in engineering at major tech firms like Google and Microsoft.

    AI & machine learningSecurity & privacy
    5 chapters

  • Robot Talk · 19m

    Episode Forty-Six: Carlotta Berry

    Carlotta Berry, a professor at the Rose-Hulman Institute of Technology, discusses her multidisciplinary robotics minor and outreach initiatives designed to increase participation from marginalized groups in STEM. She explains how the program leverages mobile robots and intuitive interfaces, such as PlayStation controllers and Android phones, to reduce mental workload and make robotics accessible to students from diverse engineering backgrounds. Berry also details her work with organizations like Black in Engineering and Black in Robotics, focusing on combating unconscious bias and marketing stereotypes that discourage women and people of color from pursuing engineering careers.

    Careers & educationRobotics & autonomy
    7 chapters

  • How I Built This · 23m

    How I Built Resilience: Live with Y-Vonne Hutchinson

    Y-Vonne Hutchinson, founder of the consulting firm ReadySet, explains how her company helps organizations embed diversity, equity, and inclusion through evidence-backed, customized management practices rather than one-off training. She discusses the systemic biases in Silicon Valley venture capital, noting that pattern matching often excludes Black entrepreneurs, and highlights the work of Black Tech for Black Lives in leveraging tech privilege for grassroots social change. Hutchinson shares a case study of a hospital system that increased underrepresented resident participation from 12% to 45% by addressing structural gaps and holding leadership accountable for cultural transformation.

    Leadership, teams & cultureHiring & workforce
    8 chapters

  • IoT For All Podcast · 23m

    Generative AI and Emotional Intelligence | millionways' Martin Cordsmeier & Max Weidemann | Internet of Things Podcast

    Martin Cordsmeier and Max Weidemann, co-founders of millionways, discuss their New York-based AI company's focus on 'scientific AI' versus generative AI. They explain how their technology analyzes text to create personality profiles and psychological backgrounds, aiming to provide explainable, bias-aware insights for mental health and HR applications. The founders argue that AI should act as a scientific tool to help people understand themselves rather than replacing human judgment, highlighting specific use cases like university matchmaking and veteran mental health support.

    AI & machine learningSecurity & privacy
    5 chapters

The summary, chapters and topics are generated from the episode’s audio by this directory, not written by Embedded.fm. The episode itself belongs to its publisher.