The integration of Artificial Intelligence (AI) into various domains continues to drive significant advancements and pose new challenges. In the realm of Human Resources, AI is reshaping employee experiences by enhancing efficiency and personalization, while also raising concerns about job security, fairness, and transparency. Transparency in AI systems is emerging as a critical factor in fostering trust and positive employee attitudes. In the gaming industry, the prevalence of dark patterns in mobile games highlights ethical concerns and the potential harm of manipulative design strategies. These patterns are widespread, affecting both problematic and seemingly benign games, emphasizing the need for ethical design and community-based approaches to promote healthier gaming experiences. Workplace surveillance technologies are also on the rise, particularly with the advent of remote work, leading to concerns about worker rights and privacy. Workers employ various tactics of resistance, but there is a clear need for more robust policies and worker-led design to protect against intrusive monitoring. In the design of AI-human interfaces, there is a growing emphasis on creating intuitive, trustworthy, and emotionally resonant experiences that balance efficiency with empathy. The complexity of trust, transparency, and emotional sensitivity in human-AI interaction is a key focus, calling for actionable frameworks to bridge research and practice. Lastly, the study of dark patterns in digital interfaces reveals significant gaps in classification, detection tools, and datasets, highlighting the need for comprehensive frameworks and standardized approaches to address these manipulative design elements. Overall, the field is moving towards more ethical and transparent AI implementations, with a strong focus on human-centered design and the protection of user and worker rights.