I propose Knowledge Amalgamation: The integration of Talent Management (TM), Performance Management (PM), and Knowledge Management (KM) could be a key to achieving long-term success. This emphasizes KM's role in transforming tacit-knowledge into explicit forms, which can enhance institutional knowledge through strategies like knowledge codification.
Integrating TM/PM/KM principles and Diplomacy Games could strengthen GenAI's diplomacy skills. By facilitating the transformation of diplomats' "tacit knowledge" into data accessible to GenAI, we could systematically record essential information about policy-making, diplomatic negotiations, and relationship-building activities.
Journaling can offer contextual information and subtle hints to help evaluate goal achievement more effectively. GenAI's aid in interpreting these complexities could significantly improve diplomatic efforts and decision-making processes. While it’s not possible to record intuition or recognition-primed decision-making, in the "Diplomacy Gameplay" section of META’s CICERO, the AI's strategic reasoning and natural language processing skills scored more than double the human players' average and ranked in the top 10% of participants who played more than one game.
Furthermore, by incorporating network analytics, we could map and analyze patterns of long-term diplomatic interactions, revealing key relationships, particularly those that are part of a cause-and-effect chain. This analysis could inform strategic decision-making, audience communication, and policy design, enhancing diplomatic efforts and providing a method to measure and evaluate processes to achieve consistently superior individual performance and U.S. Policy Goals and Objectives.
Excellent interview. A number of shared challenges with CIA here.
I propose Knowledge Amalgamation: The integration of Talent Management (TM), Performance Management (PM), and Knowledge Management (KM) could be a key to achieving long-term success. This emphasizes KM's role in transforming tacit-knowledge into explicit forms, which can enhance institutional knowledge through strategies like knowledge codification.
Integrating TM/PM/KM principles and Diplomacy Games could strengthen GenAI's diplomacy skills. By facilitating the transformation of diplomats' "tacit knowledge" into data accessible to GenAI, we could systematically record essential information about policy-making, diplomatic negotiations, and relationship-building activities.
Journaling can offer contextual information and subtle hints to help evaluate goal achievement more effectively. GenAI's aid in interpreting these complexities could significantly improve diplomatic efforts and decision-making processes. While it’s not possible to record intuition or recognition-primed decision-making, in the "Diplomacy Gameplay" section of META’s CICERO, the AI's strategic reasoning and natural language processing skills scored more than double the human players' average and ranked in the top 10% of participants who played more than one game.
Furthermore, by incorporating network analytics, we could map and analyze patterns of long-term diplomatic interactions, revealing key relationships, particularly those that are part of a cause-and-effect chain. This analysis could inform strategic decision-making, audience communication, and policy design, enhancing diplomatic efforts and providing a method to measure and evaluate processes to achieve consistently superior individual performance and U.S. Policy Goals and Objectives.
I really enjoyed how Santi challenged a lot of the answers, as well as Dan's candor in acknowledging and addressing those shortcomings.