DTM™
Grounded in Academic Rigor
The DTM™ platform operates in strict accordance with the principles and protocols established in the "GCTI Ethical AI Use Guide" (Price, T., 2024). This ensures all analytics, recommendations, and simulations adhere to the highest ethical standards for transparency, accountability, and human rights.
The four pillars guiding the ethical design and deployment of the DTM™ model.
Transparency
AI algorithms must be understandable and open for inspection, especially in sensitive areas like counter-terrorism. This fosters public trust and cooperation.
Accountability
Establish clear responsibility for the decisions and actions of AI technologies. This includes robust frameworks to address the legal and ethical implications of any erroneous AI decisions.
Non-Discrimination
AI systems must avoid biases that can lead to discriminatory outcomes. Data inputs and algorithmic designs are continuously reassessed to ensure they are fair and unbiased.
Proportionality
The benefits of using AI in counter-terrorism must be carefully balanced against potential infringements on individual rights. System use is calibrated to be proportional to the threat level.
Contact information for the GCTI Ethics Committee.
Ms. Kelli Bond
Committee Chair
Ms. Angela Serrano Osuna
Vice Chair
Mrs. Amber Oquindo, MS(HLS)
Recorder
Mr. Todd M. Price, MBA, PhD Cand.
Member
Dr. Christos Beretas
Member