Social media has become integral to human interaction, providing a platform for communication and expression. However, the rise of hate speech on these platforms poses significant risks to individuals and communities. Detecting and addressing hate speech is particularly challenging in languages like Portuguese due to its rich vocabulary, complex grammar, and regional variations. To address this, we introduce TuPy-E, the largest annotated Portuguese corpus for hate speech detection. TuPy-E leverages an open-source approach, fostering collaboration within the research community. We conduct a detailed analysis using advanced techniques like BERT models, contributing to both academic understanding and practical applications

Xenophobia is one of the key drivers of marginalisation, discrimination, and conflict, yet many prominent machine learning (ML) fairness frameworks fail to comprehensively measure or mitigate the resulting xenophobic harms. Here we aim to bridge this conceptual gap and help facilitate safe and ethical design of artificial intelligence (AI) solutions. We ground our analysis of the impact of xenophobia by first identifying distinct types of xenophobic harms, and then applying this framework across a number of prominent AI application domains, reviewing the potential interplay between AI and xenophobia on social media and recommendation systems, healthcare, immigration, employment, as well as biases in large pre-trained models. These help inform our recommendations towards an inclusive, xenophilic design of future AI systems.

Have you ever been advised to "walk a mile in someone else's shoes?" Considering another person's perspective can be a challenging endeavor -- but recognizing our errors and biases is key to building understanding across communities. By challenging our preconceptions, we confront prejudice, such as racism and xenophobia, and potentially develop a more inclusive perspective about others. To assist with perspective-taking, MIT researchers have developed "On the Plane," a virtual reality role-playing game (VR RPG) that simulates discrimination. In this case, the game portrays xenophobia directed against a Malaysian America woman, but the approach can be generalized.

As the Trump administration continues to advance its hardline stance towards immigration, legal or otherwise, businesses are increasingly turning to automation and robotics to fill jobs previously held by humans. However, these thinking machines are not without drawbacks. AI development has long been beset by issues of intrinsic training bias, if not outright racist and xenophobic behavior. Take Microsoft's aborted social media bots Tay and Zo, for example, or Amazon's questionably-designed facial recognition system. However this relationship is not unidirectional -- AI can impact the expression of xenophobic ideas just as xenophobic practices can impact the rate of AI development.