Venue: ICLR 2023 TinyPapers

Reviews:

final_score: rating: High Potential (HP): a submission which meets the reviewing criteria and has potential to make an impact on the field
review_content: summary_of_contributions: This paper focuses on causality and fairness, where bias attribution can be particularly useful and shows how a decomposition of causality and fairness can be used for fairness.
strengths_and_weaknesses: **Strengths**
1. The relationship between causality and fairness is important for addressing fairness issues. This paper undertakes an important and interesting exploration of this topic.
2. This paper is well-presented and easy to follow.
3. This paper demonstrates a strong understanding of fairness and causality and proposes an effective way to utilize them.


**Weaknesses**\
I don’t see obvious weaknesses in this paper.

suggested_changes: N/A
review_title: null

final_score: rating: High Potential (HP): a submission which meets the reviewing criteria and has potential to make an impact on the field
review_content: summary_of_contributions: In this paper authors investigated key interest quantities in causality and fairness to identify the source of impact.
strengths_and_weaknesses: Strengths:

-The paper is well justified with the propositions

-The authors show the working of the proposed solution with a publicly available dataset

Weakness:

-The authors should explain whether causality decomposition and fairness decomposition are linked together. We suggest them compare the results of individual decompositions with their proposed solution

- We suggest authors run a grammar check throughout the paper and improve it for better understanding; for example, "and allows us to understand the how close a model is to respecting certain requirements" should be "and allows us to understand how close a model is to respecting certain requirements"
suggested_changes: -The authors should explain whether causality decomposition and fairness decomposition are linked together. We suggest them compare the results of individual decompositions with their proposed solution

- We suggest authors run a grammar check throughout the paper and improve it for better understanding; for example, "and allows us to understand the how close a model is to respecting certain requirements" should be "and allows us to understand how close a model is to respecting certain requirements."
review_title: null

Meta-review: metareview: The paper received two reviews, both of which were positive about the paper's potential impact in the field of causality and fairness. The reviewers found the paper to be well-presented and easy to follow, demonstrating a strong understanding of the topic. While one reviewer had some concerns, they still rated the paper as having high potential and appreciated the authors' contributions.
confidence: 4: The area chair is confident but not absolutely certain
Decision: Invite to present (notable)