## 3 Results
### Components of the New DPIA--FRIA Framework
#### 3.1.2 The FPIA Part of the Framework  
The FRIA part of the framework, toward providing a holistic approach on the impact of AI systems on fundamental rights consists of 13 assessment categories, 31 focus areas and 146 questions. There is an indication of the respondent of the question: Deployer (D), Provider (P), and Provider/Deployer (P/D). The questions per category are provided below indicating in addition, if the answer is connected with a FRIA question, i.e., if it provides output (\(\rightarrow\)) or receives input (\(\leftarrow\)). The purpose assessment section is related to clarifying the motivation behind the idea of using an AI system, defining the problem it aims to solve and its objectives (Figure 6). Adapted/enriched based on [44; 47]. * Rationale and problem statement
* Describe your plan for implementing the AI system. What specific issue is it designed to address? What is the underlying motivation or trigger for its use? **(D)**
* Objective
* What goal is the AI system expected to accomplish? What is its main purpose, and what additional goals does it aim to fulfill? **(D)**
* What requirements does the Deployer have, and how will the system effectively satisfy them? **(P/D)**
* How effective will the system likely meet Deployer's needs? **(P)**
* Have alternative non-automated processes been considered? **(D)**
* What impact would result from not implementing the system? **(D)**  
Assessment Category 2: Public Values and Legal Basis  
The public values and legal basis section seeks to identify the public values (e.g., equality, personal autonomy, solidarity, security, etc.) that are potentially affected by the use of the AI system, as well as to determine the legal basis for the overall process related with the use of the AI system (Figure 7). Figure 6: Purpose assessment. Figure 7: Public values and legal basis. Adapted/enriched based on [44; 47]. * Public values
* What societal principles justify the implementation of the system? If multiple values drive its adoption, can they be prioritized? **(D)**
* Which societal values could be negatively affected by the implementation of the system? **(D)**, \(\rightarrow\)_DPIA Q66_
* Legal basis
* On what legal grounds is the system's implementation based, and what legitimizes the decisions it facilitates? **(D)**, \(\rightarrow\)_DPIA: Q67 or Q68 or Q69, depending on the answer._  
Assessment Category 3: Stakeholders Engagement and Responsibilities  
The stakeholders' engagement and responsibilities section aims to establish accountability by setting and clarifying the roles and responsibilities among all parties involved in the system's lifecycle. It also identifies stakeholders involved in consultation and clarifies ownership and management agreements if the AI system is externally developed. Adapted/enriched based on [44; 47]. * Involved Parties and Roles:
* Which organizations and individuals contribute to the system's creation, deployment, operation, and maintenance? Have clear responsibilities been assigned? **(P/D)**, \(\leftarrow\)_DPIA: Q2, \(\rightarrow\)_DPIA: Q67 or Q68 or Q69, depending on the answer._
* Have the duties related to the system's development and implementation been clearly defined? What measures ensure that these responsibilities remain transparent after deployment and during its operational phase? **(P/D)**, \(\rightarrow\)_DPIA: Q67 or Q68 or Q69, depending on the answer._
* Who is ultimately responsible for the AI system? **(P/D)**, \(\rightarrow\)_DPIA: Q67 or Q68 or Q69, depending on the answer._
* Which internal and external stakeholders will be engaged during consultations? **(P/D)**, \(\leftarrow\)_DPIA: Q2, \(\rightarrow\)_DPIA: Q67 or Q68 or Q69 depending on the answer._
* If the system was created by a third party, have definitive arrangements been made concerning its ownership and governance? What do these arrangements specify?