activity
20192025
most citedPrinciples to Practices for Responsible AI: Closing the Gap

64 citations · 108 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2025

Neural Networks Remember More: The Power of Parameter Isolation and Combination

Biqing Zeng, Zehan Li, Aladdin Ayesh

Catastrophic forgetting is a pervasive issue for pre-trained language models (PLMs) during continual learning, where models lose previously acquired knowledge when sequentially tra…

cs.CY2024

User-Centric AI Analytics for Chronic Health Conditions Management

Aladdin Ayesh

The use of AI analytics in health informatics has seen a rapid growth in recent years. In this talk, we look at AI analytics use in managing chronic health conditions such as diabe…

cs.CY2020★ 64 cited

Principles to Practices for Responsible AI: Closing the Gap

Daniel Schiff, Bogdana Rakova, Aladdin Ayesh +2

Companies have considered adoption of various high-level artificial intelligence (AI) principles for responsible AI, but there is less clarity on how to implement these principles…

cs.CY2020★ 42 cited

IEEE 7010: A New Standard for Assessing the Well-being Implications of Artificial Intelligence

Daniel S. Schiff, Aladdin Ayesh, Laura Musikanski +1

Artificial intelligence (AI) enabled products and services are becoming a staple of everyday life. While governments and businesses are eager to enjoy the benefits of AI innovation…

cs.IR2020★ 1 cited

Investigating Classification Techniques with Feature Selection For Intention Mining From Twitter Feed

Qadri Mishael, Aladdin Ayesh

In the last decade, social networks became most popular medium for communication and interaction. As an example, micro-blogging service Twitter has more than 200 million registered…

cs.AI2019

Turing Test Revisited: A Framework for an Alternative

Aladdin Ayesh

This paper aims to question the suitability of the Turing Test, for testing machine intelligence, in the light of advances made in the last 60 years in science, medicine, and philo…