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04/21/2023
Auditing and Generating Synthetic Data with Controllable Trust Trade-offs
Data collected from the real world tends to be biased, unbalanced, and a...
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04/19/2022
Accelerating Inhibitor Discovery for Multiple SARS-CoV-2 Targets with a Single, Sequence-Guided Deep Generative Framework
The COVID-19 pandemic has highlighted the urgency for developing more ef...
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09/24/2021
AI Explainability 360: Impact and Design
As artificial intelligence and machine learning algorithms become increa...
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06/24/2020
A Methodology for Creating AI FactSheets
As AI models and services are used in a growing number of highstakes are...
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06/19/2020
Trust and Transparency in Contact Tracing Applications
The global outbreak of COVID-19 has led to focus on efforts to manage an...
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05/22/2020
Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics
De novo therapeutic design is challenged by a vast chemical repertoire a...
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04/02/2020
Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
The recent COVID-19 pandemic has highlighted the need for rapid therapeu...
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11/11/2019
Experiences with Improving the Transparency of AI Models and Services
AI models and services are used in a growing number of highstakes areas,...
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09/06/2019
One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques
As artificial intelligence and machine learning algorithms make further ...
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06/05/2019
Teaching AI to Explain its Decisions Using Embeddings and Multi-Task Learning
Using machine learning in high-stakes applications often requires predic...
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05/27/2019
Open Platforms for Artificial Intelligence for Social Good: Common Patterns as a Pathway to True Impact
The AI for social good movement has now reached a state in which a large...
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11/30/2018
Understanding Unequal Gender Classification Accuracy from Face Images
Recent work shows unequal performance of commercial face classification ...
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11/12/2018
TED: Teaching AI to Explain its Decisions
Artificial intelligence systems are being increasingly deployed due to t...
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10/17/2018
PepCVAE: Semi-Supervised Targeted Design of Antimicrobial Peptide Sequences
Given the emerging global threat of antimicrobial resistance, new method...
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10/03/2018
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias
Fairness is an increasingly important concern as machine learning models...
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08/22/2018
Increasing Trust in AI Services through Supplier's Declarations of Conformity
The accuracy and reliability of machine learning algorithms are an impor...
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07/16/2018
Teaching machines to understand data science code by semantic enrichment of dataflow graphs
Your computer is continuously executing programs, but does it really und...
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05/29/2018
Teaching Meaningful Explanations
The adoption of machine learning in high-stakes applications such as hea...
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06/15/2016
