The perspective of Higher Education professionals toward artificial intelligence is not one of technological aversion, but rather a highly rational framework for delegation.
The boundary between tasks assigned to machines and those reserved for humans is clearly drawn at the distinction between process execution and meaning-making, driven by a specific set of drivers and darriers.
Based on current findings, the delegation of authority is organized into three critical domains:
The primary drivers here are efficiency, the need to reduce administrative burdens, and the handling of data-intensive tasks.
The main barriers are the need for empathy, interpersonal sensitivity, and the preservation of trust.
Lack of transparency (“black box” AI), concerns over intellectual property, and the necessity for legal accountability act as hard stops.
In summary, while the drivers of efficiency push the “mechanics” of work toward automation, the barriers of ethics and emotional intelligence safeguard the fundamental pillars of human professional identity. This ensures that technology supports the process, while humans remain responsible for the meaning.