Accidental Czar: The Life and Lies of Vladimir Putin
Explore Putin's mindset, Russia's governance, and global impact through a graphic novel biography. Gain insights into the Ukraine conflict and Russia's strategic shifts.
Weapons in Space: Technology, Politics, and the Rise and Fall of the Strategic Defense Initiative
Explore the rise and fall of the Strategic Defense Initiative, examining space-based weapons technology and its political implications.
An Accidental American: Memories of an Immigrant Childhood - LLESA Speaker Series
Explore a Holocaust survivor's journey from Nazi Germany to America, offering insights into resilience, identity, and the immigrant experience.
Higher Education Institutions and Their Role in Promoting Health, Safety and the Environment
Explore the vital role of higher education in promoting health, safety, and environmental awareness, focusing on curriculum integration and HSE culture implementation in Sudan's educational settings.
Society 5.0 - Assuring Privacy, Ethics, and Trustworthiness in an AI-Driven World
Explore privacy, ethics, and trustworthiness in Society 5.0's AI-driven world. Learn how data scientists can lead in creating a balanced, human-centered digital future.
AI, Integrity and the Academy - Impact of Generative Tools in Higher Education
Explore the impact of generative AI tools on academic integrity, fairness, and equity in higher education. Discuss concerns, mitigations, and future directions.
Operational Research for Fairness, Privacy and Interpretability in Machine Learning
Explore responsible AI through operational research, focusing on fairness, interpretability, and privacy in machine learning. Learn to leverage Integer Linear Programming for optimal, fair rule lists.
Hard and Easy Constraint Problems - ICBS 2024
Explore the Constraint Satisfaction Problem framework, its connections to various fields, and the resolution of the Feder-Vardi conjecture on efficiently solvable CSPs.
The Search for Transparency and Accountability in the Age of AI - RAI and XAI as Essential Tools
Explore responsible AI and explainable AI as crucial tools for building ethical, transparent, and trustworthy AI systems. Uncover their synergy in addressing fairness, accountability, and interpretability challenges.
Red Teaming Language Model Detectors with Language Models
Explore strategies to compromise LLM detectors using synonym replacement and instructional prompts, revealing vulnerabilities in text detection systems and emphasizing the need for robust safeguards.
Making GenAI Safe, Trustworthy and Fit for Purpose with Auto Alignment
Enhance fairness, robustness, and safety of generative AI through alignment templating. Learn to measure model performance, improve with minimal human intervention, and adapt for specific use cases.
Navigating the Tradeoff Between Privacy and Fairness in Machine Learning
Explore the intersection of privacy and fairness in ML, addressing challenges and research-based solutions for regulated industries.
Leadership of Responsible AI - The Case for Inclusive Tech
Explore leadership in responsible AI, focusing on inclusive tech. Learn about algorithmic bias, its societal impacts, and strategies for ethical AI implementation in the digital age.
Opening the Machine Learning Black Box in Regulated Industries
Explore techniques for making machine learning models explainable and compliant in regulated industries like finance and insurance. Learn to bridge the gap between ML and regulatory requirements.
Rise of Responsible MLOps
Explore industry-wide developments in responsible AI, focusing on fairness, transparency, privacy, and robustness in MLOps for ethical decision-making systems.
How F.A.T. is Your ML Model Quality in the Era of Software
Explore F.A.T. (Fairness, Accountability, Transparency) properties for assessing ML model quality. Learn evaluation approaches, governance benchmarks, and bias mitigation techniques through case studies.
Ethics of AI in Healthcare Informatics - Grand Rounds Lecture
Explore ethical considerations of AI in healthcare with Dr. Michael Abramoff, covering FDA approval, bias, health equity, and policy implications for medical practice.
The Ins and Outs of Preposition Semantics - 2017
Explore preposition semantics, their crucial role in linking meaning, and challenges in comprehensive annotation and cross-linguistic analysis. Gain insights into ongoing research and corpus development.
Zipf's Law Suggests a Three-Pronged Approach to Inclusive Speech Recognition
Explore Zipf's law in speech recognition, from frequent words to OOV challenges. Discover how power-law distributions impact language technologies and inclusive ASR development for diverse communities.
Low-resource Morphological Generation with Neural Sequence-to-Sequence Models
Explore neural sequence-to-sequence approaches for morphological generation in low-resource languages, including multi-task learning, cross-lingual transfer, and semi-supervised techniques.
Speech Production Features for Deep Neural Network Acoustic Modeling - 2015
Explore speech production knowledge for improved DNN acoustic modeling in ASR. Learn about vocal tract measurements and phonological embeddings to enhance recognition accuracy.