Changes for page 4. Problem Scenario
Last modified by Michaël Grauwde on 2023/05/03 15:17
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edited by Michaël Grauwde
on 2023/03/27 01:36
on 2023/03/27 01:36
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To version 6.1
edited by Michaël Grauwde
on 2023/05/03 15:17
on 2023/05/03 15:17
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... ... @@ -2,44 +2,14 @@ 2 2 3 3 If governments, police, municipalities, national organisations want to engage in creating responsible and trustworthy AI for Public Safety, it would help to involve multiple stakeholders. The stakeholders that should be involved should be different municipalities, government agencies, organisations and very importantly, the public. However, it is often difficult to reach these various stakeholders and when they are reached, discussion and deliberation amongst all parties is another issue entirely. Nonetheless, it is important that governments put in the effort to engage in deliberation with the public to see if technology should be developed and if AI systems should be developed, what values should be involved in their development. 4 4 5 -Our problem scenario then is that there is currently no way to engage in large-scale deliberation with the public and these diverse stakeholders. Even more complicated is how to receive the values that all of the different stakeholders hold regarding the countless public safety scenarios that could exist. A conversational agent can allow for deliberation amongst large groups of individuals and involve various scenarios within it. In this way, the designers and developers of AI systems can get an idea of how various stakeholders feel about a certain public safety scenario and if technology should be developed to deal with it. And then how the technology should be developed after the fact.5 +Our problem scenario then is that there is currently no way to engage in large-scale deliberation with the public and these diverse stakeholders. Even more complicated is how to receive the values that all of the different stakeholders hold regarding the countless public safety scenarios that could exist. A conversational agent can allow for deliberation amongst large groups of individuals and involve various scenarios within it. 6 6 7 -In a situationpriorto theconversational agent's public release,Francienmay beunabletoconducttheemergencyservicesastheelephonelineswiththeoperatorscouldbeoverwhelmed.As such,thereisalongerwaittimeforFrancientoget helpandshebecomes moreat risk andmorestressedabouthersituation.Shecanalso takemorerisky decisions in approaching herscenariothatcan put herselfand othersatrisk.7 +In this way, the designers and developers of AI systems can get an idea of how various stakeholders feel about a certain public safety scenario and if technology should be developed to deal with it. And then how the technology should be developed after the fact. 8 8 9 - __**Problem scenario**__9 +The question that then arises here is one of value alignment. When we look at embedding human values into AI-systems, we have to ask "whose values matter for this context", "which values", "are these values context-dependent or universal". These are all questions around not only who do we have at the table but which questions do we ask them so that certain values can be extracted from their interaction with the conversational agent that we can allow them to reflect on. 10 10 11 - **a storyabout theproblemdomain asitexistspriorto technologyintroduction**11 +In a situation prior to the conversational agent's public release, stakeholders from the various government agencies and companies making AI systems would have no outside input on the values that the stakeholder finds important in developing the systems. 12 12 13 - __**Design scenario**__13 +In this scenario, these stakeholders, can receive opinions from more stakeholders on which values they find important. For example, Suza could get information from Ben on which values he finds important in his life but also which values he has found important in his work as an ELSA researcher. 14 14 15 -**a story that conveys a new vision 16 -activity: narratives of typical or critical services information: details on info provision 17 -interaction: details of user interaction & feedback** 18 - 19 -__Conceptual Scenario__ 20 - 21 -Our conceptual scenario revolves around our member of the public attempting to communicate their position with the conversational agent. 22 - 23 -**Example: **As the situation reaches more chaotic stages, one of our members of the public is in dire straits. They are struggling to text the conversational agent and communicate their position with it. In this manner, as they struggle to text the agent, or send a voice note, there is a widget next to the text box which allows the sharing of their location. They can share their live location which will communicate this directly with the emergency services and save the last known location of them if their internet is interrupted. They can also simply share their location once or share their location once every 5 minutes to keep the emergency services up to date with their location. 24 - 25 -__Problem Scenario__ 26 - 27 -In a situation prior to the conversational agent's public release, Francien may be unable to conduct the emergency services as the telephone lines with the operators could be overwhelmed. As such, there is a longer wait time for Francien to get help and she becomes more at risk and more stressed about her situation. She can also take more risky decisions in approaching her scenario that can put herself and others at risk. 28 - 29 -__Concrete Scenario & Design Scenario__ 30 - 31 -**Sharing Your Location** 32 - 33 -Francien van der Feest is stuck in her apartment during a flood and needs to share her information with the conversational agent to let the emergency services know where she is. She is not sure that her internet and the data services of the telecommunications service will hold up. She is not very savvy using her phone and computer, but she has downloaded the app to receive updates and communication from the government in the case of an emergency. 34 - 35 -In doing so, Francien decides that the best plan for her is to stay in her apartment for now as she is on the second floor, so she decides to share her current location with the conversational agent. [1] Here she is directed by the conversational agent to click the widget next to the text box which has a pin. [2] Upon clicking this pin, she is able to make three choices: 1. sharing her live location. 2. sharing her current location. 3. sharing her location every 5 minutes. 36 - 37 -[3] She chooses to share her current location and that information is sent to the emergency services. 38 - 39 -**Some notes to the scenario** 40 - 41 -Some problems with this scenario may arise in Francien's navigation towards the location sharing widget as she is not so tech savvy. So this can lead to a technical mishap which is something to keep in mind for our designers as they design the widget but also the overall architecture of the conversational agent. 42 - 43 -__Use Case__ 44 - 45 -Our use case has to describe what people do and what the system does - Page 67 in book. 15 +