Ravit Dotan
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View article: Responsible Adoption of Generative AI in Higher Education: Developing a “Points to Consider” Approach Based on Faculty Perspectives
Responsible Adoption of Generative AI in Higher Education: Developing a “Points to Consider” Approach Based on Faculty Perspectives Open
This paper proposes an approach to the responsible adoption of generative AI in higher education, employing a ''points to consider'' approach that is sensitive to the goals, values, and structural features of higher education. Higher educa…
View article: Evolving AI Risk Management: A Maturity Model based on the NIST AI Risk Management Framework
Evolving AI Risk Management: A Maturity Model based on the NIST AI Risk Management Framework Open
Researchers, government bodies, and organizations have been repeatedly calling for a shift in the responsible AI community from general principles to tangible and operationalizable practices in mitigating the potential sociotechnical harms…
View article: The Values Encoded in Machine Learning Research
The Values Encoded in Machine Learning Research Open
Machine learning currently exerts an outsized influence on the world, increasingly affecting institutional practices and impacted communities. It is therefore critical that we question vague conceptions of the field as value-neutral or uni…
View article: The Values Encoded in Machine Learning Research
The Values Encoded in Machine Learning Research Open
Machine learning currently exerts an outsized influence on the world, increasingly affecting institutional practices and impacted communities. It is therefore critical that we question vague conceptions of the field as value-neutral or uni…
View article: The Social View of Evidence
The Social View of Evidence Open
What makes it the case that something is evidence for a hypothesis? Many people think that evidential relations, e.g., “e is evidence for h”, are out there in the world for us to discover. By contrast, I develop a social view of evidence, …
View article: Value-laden disciplinary shifts in machine learning
Value-laden disciplinary shifts in machine learning Open
As machine learning models are increasingly used for high-stakes decision making, scholars have sought to intervene to ensure that such models do not encode undesirable social and political values. However, little attention thus far has be…