Social And Emotional Learning Courses

Association for Computing Machinery (ACM)

Limits of Individual Consent and Models of Distributed Consent in Online Social Networks

Explore the limitations of individual consent and alternative models of distributed consent in online social networks, examining ethical implications and potential solutions.

• YouTube
• 15 minutes
• Self-Paced
• Conference Talk

Association for Computing Machinery (ACM)

Subverting Machines, Fluctuating Identities - Re-Learning Human Categorization

Explore the complexities of human categorization and identity in the digital age, challenging machine learning assumptions and discussing the fluidity of personal identities.

• YouTube
• 16 minutes
• Self-Paced
• Conference Talk

Association for Computing Machinery (ACM)

Should Attention Be All We Need? The Ethical and Epistemic Implications of Unification in Machine Learning

Explore the ethical and epistemic implications of unification in machine learning, focusing on attention mechanisms and their impact on AI development and society.

• YouTube
• 17 minutes
• Self-Paced
• Conference Talk

Association for Computing Machinery (ACM)

FADE - FAir Double Ensemble Learning for Observable and Counterfactual Outcomes

Learn a novel machine learning approach for fair prediction of both observable and counterfactual outcomes, enhancing decision-making in various domains.

• YouTube
• 15 minutes
• Self-Paced
• Conference Talk

Association for Computing Machinery (ACM)

Multi-disciplinary Fairness Considerations in Machine Learning for Clinical Trials

Explore fairness in machine learning for clinical trials through a multi-disciplinary lens, examining ethical implications and potential biases in healthcare research.

• YouTube
• 15 minutes
• Self-Paced
• Conference Talk

Association for Computing Machinery (ACM)

Towards Accountability for Machine Learning Datasets - Practices from Software Engineering and Infrastructure

Explore practices from software engineering to enhance accountability in machine learning datasets, addressing ethical concerns and improving transparency in AI development.

• YouTube
• 20 minutes
• Self-Paced
• Conference Talk

Association for Computing Machinery (ACM)

Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness

Explore the intersection of machine learning and mechanism design to address algorithmic fairness challenges in AI systems, focusing on innovative approaches and ethical considerations.

• YouTube
• 19 minutes
• Self-Paced
• Conference Talk

Association for Computing Machinery (ACM)

Corporate Social Responsibility via Multi-Armed Bandits

Explore how multi-armed bandit algorithms can be applied to corporate social responsibility, balancing profit maximization with societal impact in decision-making processes.

• YouTube
• 17 minutes
• Self-Paced
• Conference Talk

Association for Computing Machinery (ACM)

Decoupled Classifiers for Group-Fair and Efficient Machine Learning

Explore group-fair machine learning with decoupled classifiers, balancing efficiency and fairness in algorithmic decision-making. Gain insights into innovative approaches for ethical AI development.

• YouTube
• 20 minutes
• Self-Paced
• Conference Talk

44CON Information Security Conference

Kill All Humans - Bugs - Machine Learning to the Rescue of Code Review

Explore machine learning techniques for efficient security code reviews, reducing false positives and automating vulnerability classification in large-scale applications.

• YouTube
• 51 minutes
• Self-Paced
• Conference Talk

BSidesLV

Security AI in the Real World - Lessons Learned from Building Practical Machine Learning Systems Deployed to Hundreds of Thousands of Networks

Explore practical machine learning systems for network security, drawing insights from large-scale deployments and real-world applications.

• YouTube
• 57 minutes
• Self-Paced
• Conference Talk

BSidesLV

AI in a Minefield - Learning from Poisoned Data

Explore the challenges and strategies for AI systems learning from compromised or manipulated datasets, focusing on data poisoning threats and mitigation techniques.

• YouTube
• 49 minutes
• Self-Paced
• Conference Talk

BSidesLV

Static Detection of Novel Malware Using Transfer Learning with Deep Neural Networks

Explore innovative malware detection techniques using transfer learning and deep neural networks for enhanced cybersecurity and threat prevention.

• YouTube
• 50 minutes
• Self-Paced
• Conference Talk

BSidesLV

JARVIS Never Saw It Coming - Hacking Machine Learning in Speech, Text and Face Recognition

Explore vulnerabilities in machine learning systems for speech, text, and face recognition, uncovering potential security risks and attack vectors in AI technologies.

• YouTube
• 50 minutes
• Self-Paced
• Conference Talk

BSidesLV

PowerShell Classification - Life, Learning, and Self-Discovery

Explore PowerShell's significance in cybersecurity, including exploit frameworks, logging, and evasion tactics. Learn about machine learning applications for analyzing PowerShell data and improving detection efficacy.

• YouTube
• 46 minutes
• Self-Paced
• Conference Talk