Changes for page Step 4: Claims
Last modified by Mark Neerincx on 2023/04/13 12:17
From version 3.1
edited by Michaël Grauwde
on 2023/03/27 03:47
on 2023/03/27 03:47
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... ... @@ -10,9 +10,9 @@ 10 10 11 11 **__The impact of the negative effects__** 12 12 13 -**__1. __** Amiscommunication betweentheconversationalagentandthecitizen could beanalysedby theaggingtimein whichemergencyserviceswere dispatchedtothecitizen requiring help.Furthermore,thiscouldalsobeseenbythelack of understandinginthetext communicatedbythecitizenonthedoftheconversationalagent.13 +**__1. __** We can analyse how the humans feel about themselves and if they feel put in a box by examining how they engage in discussion and seeing how open they are to new ideas. 14 14 15 -** __2.__**Indisaster times, it is required that theauthoritiescommunicate well with the public. A lackof communication could leadto distrust in the systemas well as other AI systems. Thisdistrustcould leadtocitizensbeingunwilling tousethe conversationalagentin thefuture. Thiscouldleadto laggingresponsetimes fromtheemergencyservicesashumanrespondentsmay beoverwhelmed bytheamountofallsthattheymay receive.This couldleadtoanincreasein deaths andinjuriesincrisistimes.15 +**2. **If the users lose trust in the system, this can cause loss of trust in the police. This would be damaging to the society, as it would make it more difficult for the police to do their jobs and use technology in the future. 16 16 ))) 17 17 |((( 18 18 [[image:14.png]] ... ... @@ -25,4 +25,4 @@ 25 25 [[image:13.png]] 26 26 27 27 //Demonstration of AI-functionality// 28 -)))|(% style="width:222px" %)Can you describe how you could demonstrate that your AI function (s) achieve(s) the effects that you listed in the previous question?|(% style="width:286px" %)I could describe achieving previous effects by the response times indispatching ofemergencyservices and inhelivessaves.Furthermore,a positiveresponseto the conversational agentcould also be seen as ademonstrationofthe usefulness of the conversational agent.28 +)))|(% style="width:222px" %)Can you describe how you could demonstrate that your AI function (s) achieve(s) the effects that you listed in the previous question?|(% style="width:286px" %)I could describe achieving previous effects by doing qualitative surveys and interviews on the views of the users with regards to the conversational agent. Longer discussions and improved deliberation quality could be seen as an improvement in the deliberation and can be seen as usefulness of the conversational agent.
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... ... @@ -1,0 +1,1 @@ 1 +It would be nice to have an objective measure of the quality of the deliberation (value-based argumentation). Note that the agent is expected to build a value model for each stakeholder and context/use case. Stakeholders can assess whether this model represents their values accurately.