The field of artificial intelligence is witnessing a significant shift towards data-centric approaches, with a growing emphasis on understanding the human experience and promoting freedom and authenticity. Recommendation algorithms are being designed to provoke unfamiliar interests and curiosities, rather than simply reinforcing existing preferences. In software engineering, there is a growing recognition of the importance of individual responsibility and ownership, particularly in agile development teams. Noteworthy papers include:

• Data-Driven Breakthroughs and Future Directions in AI Infrastructure, which provides a comprehensive review of major breakthroughs in AI over the past fifteen years.
• The Dilemma Between Euphoria and Freedom in Recommendation Algorithms, which poses a human dilemma between two types of personal identity.