Social And Emotional Learning Courses

Hack In The Box Security Conference

Improving Unicode Attacks With Deep Learning

Exploración de ataques Unicode mejorados con aprendizaje profundo, creando un diccionario de caracteres confundibles para desarrollar herramientas ofensivas sofisticadas y nuevos procedimientos de prueba de aplicaciones.

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

Hack In The Box Security Conference

Using Machine-Learning to Investigate Web Campaigns at Large

Explore machine learning techniques for investigating large-scale web campaigns, enhancing cybersecurity analysis and threat detection capabilities.

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

Hack In The Box Security Conference

Learning How to Smurf with Honeypots

Explore how honeypots can enhance blue team skills, covering topics like Cyber Threat Intelligence, DevSecOps, and Attack Modeling to improve cybersecurity operations.

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

Hack In The Box Security Conference

Social Networks - Can We Fix Them?

Exploring social networks' evolution, unintended consequences, and potential solutions to address issues like fake news and online harassment.

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

Association for Computing Machinery (ACM)

The Future of News on Social Platforms

Explore algorithmic amplification's impact on news ranking, misinformation, and fact-checking. Learn about South Korea's COVID-19 misinformation response and the Facts Before Rumors campaign.

• YouTube
• 1 hour 8 minutes
• Self-Paced
• Conference Talk

Association for Computing Machinery (ACM)

Bias Preservation in Machine Learning - The Legality of Fairness Metrics Under EU Non-Discrimination Law

Explore the legal implications of fairness metrics in machine learning under EU non-discrimination law, examining bias preservation and its impact on algorithmic decision-making.

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

Association for Computing Machinery (ACM)

Sociocultural Diversity in Machine Learning - Lessons from Philosophy, Psychology, and Organizational Science

Explore sociocultural diversity in machine learning through insights from philosophy, psychology, and organizational science. Gain valuable lessons for creating more inclusive and effective AI systems.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Conference Talk

Association for Computing Machinery (ACM)

Bias Preservation in Machine Learning - The Legality of Fairness Metrics Under EU Non-Discrimination Law

Explore the legal implications of fairness metrics in machine learning under EU non-discrimination law, focusing on bias preservation and its impact on algorithmic decision-making.

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

Association for Computing Machinery (ACM)

Value Cards - An Educational Toolkit for Teaching Social Impacts of Machine Learning through Deliberation

Explore an innovative educational toolkit using value cards to teach the social impacts of machine learning through deliberation and critical thinking.

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

Association for Computing Machinery (ACM)

Algorithmic Fairness in Predicting Opioid Use Disorder using Machine Learning

Explore machine learning's role in predicting opioid use disorder, focusing on algorithmic fairness and ethical considerations in healthcare applications.

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

Association for Computing Machinery (ACM)

Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information

Explore methods for assessing ML model fairness with limited data, addressing challenges in uncertain and incomplete information scenarios.

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

Association for Computing Machinery (ACM)

Toward a Theory of Race for Fairness in Machine Learning

Exploring critical race theory concepts for machine learning practitioners to develop a nuanced understanding of race in algorithmic fairness, through discussions and interactive activities.

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

Association for Computing Machinery (ACM)

Fairness in Machine Learning - Lessons from Political Philosophy

Explore the intersection of machine learning fairness and political philosophy, drawing insights to address ethical challenges in AI decision-making systems.

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

Association for Computing Machinery (ACM)

Mixed Messages - The Limits of Automated Social Media Content Analysis

Explore limitations of automated content analysis on social media, examining accuracy, bias, and implications for free expression and content moderation policies.

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

Association for Computing Machinery (ACM)

REAL ML - Recognizing, Exploring, and Articulating Limitations in Machine Learning Research

Explore key strategies for identifying, investigating, and communicating limitations in machine learning research to enhance transparency and foster responsible AI development.

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