(19659001) Apple has published a selection of recordings from its Machine Learning Research blog today (19659002). Workshop on Human-Centered Machine Learning (HCML) 2024 (HCML), highlighting the work on responsible AI Development.
Nearly 3 hours of content are now available
The eventoriginally held in August 2024 brought together Apple researchers and academic experts to discuss everything from model interpretationability to accessibility and strategies to prevent large-scale negative outcomes caused by the evolution of AI.
This is the complete list of Videos are available:
- “Engineering Better UIs Via Collaboration with Screen-Aware foundation Models,” by Kevin Moran (University of Central Florida);
- “UI Understanding,” by Jeff Nichols(Apple);
- “AI-Resilient Interfaces,” by Elena Glassman(Harvard University);
- Mary Beth Kery’s (Apple);
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Apple is doubling down its focus on responsible AI development.
Even though the event was almost a year ago, these talks are still very insightful as they focus more on the human aspects and responsible aspects of machine-learning development than the frontier technology. Apple’s blog post
also highlights the focus it has on responsible AI development. This includes a Set of principles which guide the development of AI tools.
- Empowering users with intelligent tools. We identify areas in which AI can be responsibly used to create tools that address specific user needs. We respect the way our users use these tools to achieve their goals.
- Represent users: We build deeply personalized products with the goal to represent users around the world authentically. We strive to eliminate stereotypes and systemic prejudices in our AI models and tools.
- Design carefully: We take care at every stage of the process, from design to model training to feature development and quality evaluation, to identify any potential misuse or harm that our AI tools could cause. With the help of user feedback, we will continually and proactively improve AI tools.
- Protect privacy. We protect the privacy of our users with powerful on-device computing and cutting edge infrastructure such as Private Cloud Compute. We do not use any of our users’ personal data or interactions to train our foundation models.
Are you involved in machine learning development? How often is responsible Development the main topic of conversation? Comment and let us know.
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