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Research#AI Ethics📝 BlogAnalyzed: Dec 29, 2025 07:54

How to Be Human in the Age of AI with Ayanna Howard - #460

Published:Mar 1, 2021 20:04
1 min read
Practical AI

Analysis

This article summarizes a podcast episode featuring Ayanna Howard, the Dean of Engineering at The Ohio State University. The discussion centers around her book, "Sex, Race, and Robots: How to Be Human in the Age of AI." The conversation explores the complex relationship between humans and robots, touching upon themes of socialization, gender association with AI, and the impact of search engine biases. The ethical considerations of AI development, including data and model biases, are also addressed. Finally, the article briefly mentions Dr. Howard's new role and its implications for her research and the future of applied AI.
Reference

“We continue to explore this relationship through the themes of socialization introduced in the book, like associating genders to AI and robotic systems and the “self-fulfilling prophecy” that has become search engines.”

PermalinkPractical AI
Education#Machine Learning📝 BlogAnalyzed: Dec 29, 2025 07:58

What's Next for Fast.ai? w/ Jeremy Howard - #421

Published:Oct 21, 2020 18:55
1 min read
Practical AI

Analysis

This podcast episode from Practical AI features an interview with Jeremy Howard, the founder of Fast.ai. The discussion covers Howard's career trajectory, including his transition from consulting to machine learning education. The conversation delves into the current state of machine learning adoption, exploring whether the field has reached its peak in terms of deep learning capabilities. The episode also examines the latest iteration of the fast.ai framework and course, the reception of Howard's book, and gaps in machine learning education. The episode promises insights into the future of Fast.ai and the broader machine learning landscape.
Reference

“If you’ve missed our previous conversations with Jeremy, I encourage you to check them out here and here.”

PermalinkPractical AI
Research#Robotics and AI Ethics📝 BlogAnalyzed: Dec 29, 2025 17:42

Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems

Published:Jan 17, 2020 15:44
1 min read
Lex Fridman Podcast

Analysis

This article summarizes a podcast episode featuring Ayanna Howard, a prominent roboticist. The discussion covers a wide range of topics related to robotics and AI, including human-robot interaction, ethical considerations in safety-critical algorithms, bias in robotics, and the future of robots in space. The episode also touches upon the societal impact of AI, such as its role in politics, education, and potential job displacement due to automation. The interview format allows for a conversational exploration of complex issues, providing insights into the current state and future of robotics and AI.
Reference

“The episode covers topics like ethical responsibility of safety-critical algorithms and bias in robotics.”

PermalinkLex Fridman Podcast
Research#deep learning📝 BlogAnalyzed: Dec 29, 2025 17:46

Jeremy Howard: fast.ai Deep Learning Courses and Research

Published:Aug 27, 2019 15:24
1 min read
Lex Fridman Podcast

Analysis

This article summarizes a podcast conversation with Jeremy Howard, the founder of fast.ai, a research institute focused on making deep learning accessible. It highlights Howard's diverse background, including his roles as a Distinguished Research Scientist, former Kaggle president, and successful entrepreneur. The article emphasizes his contributions to the AI community as an educator and inspiring figure. It also provides information on how to access the podcast and support it. The focus is on introducing Jeremy Howard and his work in the field of AI.
Reference

“This conversation is part of the Artificial Intelligence podcast.”

PermalinkLex Fridman Podcast
Research#deep learning📝 BlogAnalyzed: Dec 29, 2025 08:19

Trends in Deep Learning with Jeremy Howard - TWiML Talk #214

Published:Dec 24, 2018 16:43
1 min read
Practical AI

Analysis

This article summarizes a podcast episode featuring Jeremy Howard, founder of Fast.ai, discussing deep learning trends. The focus is on making deep learning more accessible to developers and data scientists. The episode likely covers key papers, tools, and techniques that have contributed to the democratization of deep learning. The 'AI Rewind' series suggests a retrospective look at the year's developments, highlighting significant advancements and their impact on the field. The discussion probably includes practical applications and future directions of deep learning.
Reference

“Jeremy joins us to discuss trends in Deep Learning in 2018 and beyond.”

PermalinkPractical AI
Research#llm📝 BlogAnalyzed: Dec 29, 2025 08:21

Milestones in Neural Natural Language Processing with Sebastian Ruder - TWiML Talk #195

Published:Oct 29, 2018 20:16
1 min read
Practical AI

Analysis

This article summarizes a podcast episode featuring Sebastian Ruder, a PhD student and research scientist, discussing advancements in neural NLP. The conversation covers key milestones such as multi-task learning and pretrained language models. It also delves into specific architectures like attention-based models, Tree RNNs, LSTMs, and memory-based networks. The episode highlights Ruder's work, including his ULMFit paper co-authored with Jeremy Howard. The focus is on providing an overview of recent developments and research in the field of neural NLP, making it accessible to a broad audience interested in AI.
Reference

“The article doesn't contain a direct quote.”

PermalinkPractical AI
Research#deep learning📝 BlogAnalyzed: Dec 29, 2025 08:21

Fastai v1 Deep Learning Framework with Jeremy Howard - TWiML Talk #186

Published:Oct 2, 2018 16:13
1 min read
Practical AI

Analysis

This article highlights the release of Fast.ai's version 1.0 deep learning library, discussed in a TWiML Talk episode with Jeremy Howard, the founder. The conversation covers the library's significance, changes in the new version, its development approach, and its implications for future Fast.ai courses. The article focuses on the practical aspects of the library and its impact on the deep learning community, particularly those using PyTorch. The announcement at the PyTorch Devcon in San Francisco underscores the library's importance within the PyTorch ecosystem.
Reference

“The article doesn't contain a direct quote.”

PermalinkPractical AI
Research#Human-Robot Interaction📝 BlogAnalyzed: Dec 29, 2025 08:30

Trust in Human-Robot/AI Interactions with Ayanna Howard - TWiML Talk #110

Published:Feb 13, 2018 00:38
1 min read
Practical AI

Analysis

This article summarizes a podcast episode featuring Ayanna Howard, discussing her work in human-robot interaction, particularly focusing on pediatric robotics and human-robot trust. The episode delves into experiments, including a simulation of an emergency situation, highlighting the importance of making informed decisions regarding AI. The article also encourages listeners to share their opinions on the role of AI in their lives through a survey, offering prizes as an incentive. The focus is on the ethical and practical implications of AI development and its impact on society.
Reference

“Ayanna provides a really interesting overview of a few of her experiments, including a simulation of an emergency situation, where, well, I don’t want to spoil it, but let’s just say as the actual intelligent beings, we need to make some better decisions.”

PermalinkPractical AI