Learn more about artificialintelligence with this collection
Find out the challenges it poses
Learn about the potential impact on society
Understanding the concept of Metaverse
Why Explain?
End users require an explanation of the decision or action recommended made by the AI system in order to carry out the recommendation.
Business users require an explanation to ensure corporate governance and manage reputational risk to their group or company.
Data scientists require explanations to validate models and also perform trade-offs between accuracy of the model and performance criteria.
Regulators require explanations to ensure compliance to existing regulations and ensuring that no harm comes to consumers.
4
6 reads
MORE IDEAS ON THIS
Explainable AI
Explainable AI is a critical element of the broader discipline of responsible AI. Responsible AI encompasses ethics, regulations, and governance across a range of risks and issues related to AI including bias, transparency, explicability, interpretability, robustness, safety, security, and privac...
3
35 reads
What is the Explanation (technique)?
There are six broad approaches as it relates to post-hoc explainability.
- Feature relevance: These approaches to explainability focus on the inner functioning of the model and highlight the features that best explain the outcome of the model.
- Model simplification: These approach...
5
7 reads
When to Explain?
Explanations may be generated before the model is built, also called ex-ante or the model is trained and tested first and then the explanation may be generated, also called post-hoc.
4
8 reads
How to Explain?
Visual or graphical explanations, tabular data-driven explanation, natural language descriptions or voice explanations are some of the existing modes of explanation.
A salesperson might be comfortable with an explanation that shows a graph of increasing sales and how the increase in sales i...
4
7 reads
Whom to Explain?
The audience for the explanation or whom to explain should be the first question to answer. Understanding the motivation of the audience, what action or decision the audience is planning to make, their mathematical or technical knowledge and expertise are all important aspects that should be cons...
4
6 reads
What is the Explanation (technique)?
There are six broad approaches as it relates to post-hoc explainability.
- Feature relevance: These approaches to explainability focus on the inner functioning of the model and highlight the features that best explain the outcome of the model.
- Model simplification: These approach...
6
7 reads
CURATED FROM
CURATED BY
Read & Learn
20x Faster
without
deepstash
with
deepstash
with
deepstash
Access to 200,000+ ideas
—
Access to the mobile app
—
Unlimited idea saving & library
—
—
Unlimited history
—
—
Unlimited listening to ideas
—
—
Downloading & offline access
—
—
Personalized recommendations
—
—
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