ALL THINGS CYBER
CONCLUSION AI has the potential
to revolutionize
the U.S. Army by improving efficiency, enhancing decision-making and strength- ening national security. However, it is essential to recognize that AI and automa- tion can only be effective if the underlying processes have been optimized through formal PI methodologies. By addressing the challenges and ethical considerations associated with AI implementation, the Army can harness the full potential of this transformative technology to maintain its competitive edge. Strategic investment in AI research and development, coupled with a focus on responsible AI develop- ment and deployment, will be critical for realizing the full benefits of AI-powered PI within the U.S. Army.
MAPPING A PLAN
A draft process map sits on a desk in the U.S. Army Financial Management Command headquarters in Indianapolis, Indiana, on May 13, 2019. U.S. Army Financial Management Command’s Business Process Management directorate completed a three- year mission of documenting and standardizing all of the Army’s business processes impacting financial statements on October 1, 2020. (Photo by Mark R.W. Orders- Woempner, U.S. Army)
as data profiling, cleansing and the use of AI tools for continuous monitoring and validation.
Interpretability and transparency are also essential. Understanding how AI systems reach their conclusions is crucial for build- ing trust and ensuring responsible use. Te problem of “black box” AI, where decision- making processes are unclear or opaque, can be especially concerning in high-stakes situations. To address this issue, the use of simpler, more interpretable models— such as decision trees, linear regression and rule-based systems—should be prioritized, along with explainable AI techniques and feature importance analysis to enhance transparency.
Bias and fairness present another major challenge, as AI systems can inherit and
amplify biases present in the training data. Addressing this requires careful curation of diverse datasets, implementation of bias detection tools and the establishment of mechanisms for continuous monitoring and human oversight to safeguard against unfair or discriminatory outcomes.
Finally, ethical considerations in autono- mous systems must be carefully managed. As AI evolves, the possibility of auton- omous weapons systems introduces serious ethical concerns regarding human control and accountability. Ensuring fair- ness, transparency and human oversight throughout the AI life cycle is essential, along with enforcing robust data protec- tion protocols, security measures and continuous auditing to uphold ethical standards in all applications.
For more information, contact the author at
charles.t.brandon.civ@
army.mil.
CHARLES T. BRANDON III, DBA, is the Army director for business process improvement
and reengineering
in the
Office of the Chief Information Officer at the Pentagon in Washington, D.C. He holds a DBA in quality systems management from the National Graduate School of Quality Management, an M.S. in information technology from the American InterContinental University and a B.S. in economics from Alabama Agricultural and Mechanical University. Te views expressed are his own and do not necessarily represent the opinions of the U.S. Army or DOD.
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