Improving AI Transparency
A few key ways we've improved transparency in AI at LinkedIn:
- Explainable AI for model consumers to build trust and augment decision-making.
- Explainable AI for modellers to perform model debugging and improvement.
- Transparency beyond AI systems.
2
3 reads
The idea is part of this collection:
Learn more about computerscience with this collection
Understanding machine learning models
Improving data analysis and decision-making
How Google uses logic in machine learning
Related collections
Similar ideas to Improving AI Transparency
Transparency + Context = Explainability
Transparency allows modellers, developers, and technical auditors to understand how an AI system works, including how a model is trained and evaluated, what its decision boundaries are, what inputs go into the model, and finally, why it made a specific prediction. This is often also described as ...
Transparency and Accountability
Ensuring transparency and accountability in the realm of AI ethics stands as a formidable challenge, one that is central to fostering trust in AI systems and ensuring their responsible use.
The 'black box' nature of certain AI algorithms is akin to peering into the depths o...
Establishing Ethical Guidelines for Transparent AI Development
To address this, there's a pressing need to establish clear guidelines and standards for AI development. These guidelines should encompass not only the technical aspects of AI but also ethical considerations.
Creating a transparent framework that outlines the development process, data sour...
Read & Learn
20x Faster
without
deepstash
with
deepstash
with
deepstash
Personalized microlearning
—
100+ Learning Journeys
—
Access to 200,000+ ideas
—
Access to the mobile app
—
Unlimited idea saving
—
—
Unlimited history
—
—
Unlimited listening to ideas
—
—
Downloading & offline access
—
—
Supercharge your mind with one idea per day
Enter your email and spend 1 minute every day to learn something new.
I agree to receive email updates