translation fixes and logic bug fix in NL EN json

Author: jfparie

src/i18n/en/translation.json

@@ -5,7 +5,7 @@
   "description2": "By answering four additional questions, it can be determined whether an algorithm classifies as a high-impact algorithm according to the",
   "Handreiking_link": " Algorithm Registry Guidance Document",
   "description3": " of the Dutch government.",
-  "description4": " By answering a maximum of 20 extra questions the risk class of an AI system can be determined.",
+  "description4": " By answering a maximum of 20 questions the risk class of an AI system can be determined.",
   "description5": " These dynamic questionnaires are primarily designed for public sector organisations but can also be valuable for other sectors.",
   "feedback": "Help develop and share feedback via",
   "startButton": "Start",

src/i18n/nl/translation.json

@@ -2,10 +2,10 @@
   "cardTitle": "AI-verordening implementatie tool",
   "description1": "Aan de hand van maximaal drie vragen kan een gedegen inschatting worden gemaakt of een datagedreven toepassing als AI-systeem kwalificeert onder de",
   "AI_Act_link": " AI-verordening.",
-  "description2": " Door het invullen van vier aanvullende vragen kan worden bepaald of een algoritme kwalificeert als een impactvol algoritme zoals gedefinieerd in de",
+  "description2": " Door het beantwoorden van vier aanvullende vragen kan worden bepaald of een algoritme kwalificeert als een impactvol algoritme zoals gedefinieerd in de",
   "Handreiking_link": " Handreiking Algoritmeregister",
   "description3": " van de Nederlandse overheid.",
-  "description4": " Met het invullen van maximaal 20 aanvullende vragen kan worden bepaald wat de risicoclassificatie is van een AI-systeem.",
+  "description4": " Met het beantwoorden van maximaal 20 aanvullende vragen kan worden bepaald wat de risicoclassificatie is van een AI-systeem.",
   "description5": "  Deze dynamische vragenlijsten richten zich primair op publieke sector organisaties, maar kunnen ook nuttig zijn voor andere sectoren.",
   "feedback": "Help mee ontwikkelen. Deel feedback middels",
   "startButton": "Start",

src/schemas/en/riskclassification.json

@@ -516,7 +516,7 @@
               },
               {
               "properties": {
-                "III.2.4": {
+                "III.2.5": {
                 "enum": ["Yes"]
                 },
                 "education": { "$ref": "#/definitions/education" }
@@ -1399,7 +1399,7 @@
           },
           "III.6.2": {
             "type": "string",
-            "title": "Is the application used as a lie detector or similar instrument?",
+            "title": "Is the application used as a polygraph (lie detector) or similar instrument?",
             "enum": [
               "Yes",
               "No"
@@ -1558,7 +1558,7 @@
                 },
                 "III.7.1": {
                 "type": "string",
-                "title": "Is the application used as a lie detector or similar instrument?",
+                "title": "Is the application used as a polygraph (lie detector) or similar instrument?",
                 "enum": [
                   "Yes",
                   "No"
@@ -1588,7 +1588,7 @@
                 },
                 "III.7.2": {
                 "type": "string",
-                "title": "Is the application used in the assessment of risks for a person entering or already in the Netherlands?",
+                "title": "Is the application used in the assessment of risks for a person entering territory of a member state of the European Union?",
                 "enum": [
                   "Yes",
                   "No"
@@ -2065,7 +2065,7 @@
                 },
                 "5.c.3": {
                 "type": "string",
-                "title": "Can the evaluation or estimation lead to adverse treatment for the evaluated person?",
+                "title": "Can the evaluation or estimation lead to unfavourable treatment for the evaluated person?",
                 "enum": [
                   "Yes",
                   "No"
@@ -2095,7 +2095,7 @@
                 },
                 "5.c.4": {
                 "type": "string",
-                "title": "Does it occur that the adverse treatment takes place in a completely different context than the behavior or personal characteristic on which the score is based?",
+                "title": "Does it occur that the unfavourable treatment takes place in a completely different context than the behavior or personal characteristic on which the score is based?",
                 "enum": [
                   "Yes",
                   "No"
@@ -2125,7 +2125,7 @@
                 },
                 "5.c.5": {
                 "type": "string",
-                "title": "Can it occur that the adverse treatment is not proportional to the exhibited behavior?",
+                "title": "Can it occur that the unfavourable treatment is not proportional to the exhibited behavior?",
                 "enum": [
                   "Yes",
                   "No"
@@ -3098,11 +3098,11 @@
     },
     "5.c.4": {
       "ui:widget": "radio",
-      "ui:description": "Adverse treatment in an unrelated context is, for example: a fraud risk score that leads to an investigation, where the fraud risk score is based on characteristics without clear relevance to the assessment of fraud, such as having a partner with a certain nationality, having an internet connection, behavior on social platforms, or performance at work.\nOther examples are not being able to get social housing due to traffic violations or being rejected for a job application because noise complaints were reported at the home address."
+      "ui:description": "Unfavourable treatment in an unrelated context is, for example, a fraud risk score that leads to an investigation, where the fraud risk score is based on characteristics without clear relevance to the assessment of fraud, such as having a partner with a certain nationality, having an internet connection, behavior on social platforms, or performance at work.\nOther examples are not being able to get social housing due to traffic violations or being rejected for a job application because noise complaints were reported at the home address."
     },
     "5.c.5": {
       "ui:widget": "radio",
-      "ui:description": "Disproportionate treatment is, for example: Someone gets a higher fraud risk score and therefore control because municipal taxes were once paid late. Other examples are a student not being admitted to further education because they were once caught cheating in childhood or a child not being eligible for Halt due to a high recidivism risk score because the child has a brother with a criminal record."
+      "ui:description": "Disproportionate treatment is, for example, Someone gets a higher fraud risk score and therefore control because municipal taxes were once paid late. Other examples are a student not being admitted to further education because they were once caught cheating in childhood or a child not being eligible for Halt due to a high recidivism risk score because the child has a brother with a criminal record."
     },
     "6.1": {
       "ui:widget": "radio",

src/schemas/nl/risicoclassificatie.json

@@ -516,7 +516,7 @@
               },
               {
                 "properties": {
-                  "III.2.4": {
+                  "III.2.5": {
                     "enum": ["Ja"]
                   },
                   "education": { "$ref": "#/definitions/education" }