デロイト Tohmatsu Consulting LLC, a member of the Deloitte Tohmatsu Group, is promoting the implementation of AI technology to draw out the tacit knowledge hidden within various human resources as a measure to dramatically advance data-driven management in companies. This time, we have developed an “AI Interview Agent” that consolidates that technology. This app uses multiple AI technologies to program a series of processes, from natural voice dialogue by the AI interview agent to data structuring and data search.
While the recent spread of generative AI technology has expanded opportunities to utilize corporate databases, there are many cases where necessary information remains dormant in people’s heads and has not been digitized, which is an obstacle to data-driven management. In order to digitize such tacit knowledge, the general method is for the person who has the information to transcribe it into a document themselves, or for a third party to elicit the information through interviews, but there are issues such as being too busy to find the time, not knowing what information to elicit, and the quality of the information that can be elicited being dependent on the ability of the interviewer.
In this app, AI conducts voice interviews according to a pre-set scenario and organizes the information extracted in a structured manner. This app makes it possible to obtain a large amount of information through human-AI dialogue, 24 hours a day, anywhere, with a certain level of quality. The information obtained is stored in a database in a data structure called “graph data,” which is suitable for organizing knowledge. Graph data is a data structure that is composed of nodes (vertices) and edges (sides), and is suitable for expressing complex relationships between data. When searching for information, information can be obtained in natural language, and searching accuracy can be improved by following the data structure.
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Main functions of Deloitte Tohmatsu’s “AI Interview Agent”
AIを活用した音声インタビューによる情報取得や、自然言語による情報検索を可能にします。
音声インタビュー:音声AIが、あらかじめ設定されたシナリオに沿ってインタビューを行い、自然な形で相手の情報を抽出(テキスト入力との併用も可能)
会話ログ表示:人間とAIとの会話内容をリアルタイムに表示
グラフデータ表示:会話内容を大規模言語モデル(LLM)で解析し、グラフデータに変換して画面上に視覚的に表示します。
データ編集:AIが誤認識した内容を、ユーザーが画面上で直接修正することができます。
データ検索:グラフデータを音声で質問し、必要な情報を取得(テキスト入力との併用も可能)
AIエージェント:ユーザーとの対話内容に応じて、インタビュー、グラフデータ化、データ検索のいずれかを判断し、複数の処理を自動で切り替えます。
ソース デロイト
