DESIGNERS INCREASINGLY LEVERAGE autonomous
In addition to having a detailed understanding
software tools that make decisions independent of the
designer. Examples abound in virtually every design
field. For example, semiconductor chip designers
use tools that make decisions about placement and
logic checking. Game designers rely on software that
generates initial drafts of virtual worlds. Autonomous
tools employ artificial intelligence methods, including
machine learning, pattern recognition, meta-heuristics,
of the artifacts they intend to create, designers
need to guide the software tools they use.
BY STEFAN SEIDEL, NICHOLAS BERENTE, ARON LINDBERG,
KALLE LYYTINEN, AND JEFFREY V. NICKERSON
˽ Autonomous tools are able to generate
remarkable design outcomes, but
designers using them also need to change
the way they do their design work.
˽ Designing with autonomous tools requires
that designers understand and actively
interact with the “mental models” of the
tools, in addition to the design artifact
and the design process, what we call the
“triple loop” model of learning.
˽ Designers working with autonomous
tools need to build capabilities
described here in terms of framing,
evaluating, and adjusting to navigate
this new design process.