Evaluating the Inclusiveness of Artificial Intelligence Software in
  Enhancing Project Management Efficiency -- A Review
Vasileios Alevizos Ilias Georgousis Akebu Simasiku Sotiria Karypidou Antonis Messinis
The rise of advanced technology in project management (PM) highlights a
crucial need for inclusiveness. This work examines the enhancement of both
inclusivity and efficiency in PM through technological integration, focusing on
defining and measuring inclusiveness. This approach illuminates how
inclusivity-centered technology can significantly elevate project outcomes. The
research navigates through the challenges of achieving inclusivity, mainly
biases in learning databases and the design process of these technologies,
assessment of transformative potential of these technologies, particularly in
automating tasks like data collection and analysis, thus enabling managers to
prioritize human-centric aspects of projects. However, the integration of such
technology transcends efficiency, indicating a paradigm shift in understanding
their societal roles. This shift necessitates a new approach in the development
of these systems to prevent perpetuating social inequalities. We proposed a
methodology involving criteria development for evaluating the inclusiveness and
effectiveness of these technologies. This methodical approach is vital to
comprehensively address the challenges and limitations inherent in these
systems. Emphasizing the importance of inclusivity, the study advocates for a
balance between technological advancement and ethical considerations, calling
for a holistic understanding and regulation. In conclusion, the paper
underscores that while these technologies can significantly improve outcomes,
their mindful integration, ensuring inclusivity, is paramount. This exploration
into the ethical and practical aspects of technology in PM contributes to a
more informed and balanced approach within the field.