The field of artificial intelligence is shifting towards a more human-centric approach, focusing on augmenting human cognition and decision-making rather than replacing it. Recent developments have highlighted the importance of process-oriented support, where AI tools provide incremental assistance to help users solve tasks themselves, rather than offering end-to-end solutions. This approach has shown promise in addressing the challenges of counterfactuals in AI deployment decisions, where the expected utility of AI usage can have significant impacts on stakeholders. Furthermore, the integration of AI in areas such as systematic long-term investing, group recommender systems, and assistive navigation technologies has demonstrated the potential for AI to enhance human capabilities and improve outcomes. Noteworthy papers in this area include: Augmenting Human Cognition With Generative AI, which explores the challenges of end-to-end solutions and the benefits of process-oriented support. DBOT: Artificial Intelligence for Systematic Long-Term Investing, which presents a system capable of valuing any publicly traded company and highlights the research challenges involved in raising its capability to that of human experts. AI, Help Me Think—but for Myself, which introduces an alternative interaction model where AI outputs build upon users' own decision-making rationales, leading to better integration into the decision-making process and slightly better outcomes.