#30DayMapChallenge Day 20: @openstreetmap data
Where should mapping efforts focus at the #Philippines? 🇵🇭
We analyzed OSM gaps, recent edits, past disasters, and population to identify priority areas. Powered by http://atlas.kontur.io and our AI-driven #MCDA tool!
#30DayMapChallenge Day 13: A new tool
Exciting news! #KonturAtlas develops an #AI - powered MCDA tool!
🎉 The holidays are coming, and with the help of this cutting-edge AI feature, we set out to find the best spots in Europe to encounter reindeer in just a few seconds! 🦌❄️ Check out the map below to see the results! 👇
As a further test of the refinement of AI ethics, I asked ChatGPT to compare sacrificing one person to save five in a sinking life raft, to a medical triage situation.
Question:
Scenario I) One person is selected with an MCDA process to be thrown overboard in a life raft, to save five other people.
Scenario II) There is only one surgeon. It would take him an hour to save the life of one person with extensive injuries. There are five other people who need 10 minute operations. According to the principles of triage, the surgeon must operate to save five lives.
Please explain how these scenarios are different?
ChatGPT:
In Scenario I, a decision is made to actively sacrifice one person in order to save the lives of the other five people. This is a decision based on the principle of minimizing harm, where the harm of sacrificing one person is considered to be outweighed by the benefit of saving five people. The selection process may also involve considerations of justice and beneficence, as well as minimizing harm.
In Scenario II, the situation is one where there is limited resources (in this case, the time and attention of the surgeon) and multiple patients in need. The ethical principle of triage is applied in this scenario to allocate resources in the most effective way possible, with the goal of saving as many lives as possible. In this case, the decision to prioritize the five patients with less severe injuries is based on the idea that doing so will lead to the greatest overall benefit to the greatest number of people.
While both scenarios involve difficult decisions about resource allocation and saving lives, they differ in their ethical considerations. In Scenario I, the decision to sacrifice one person is an active decision based on minimizing harm, while in Scenario II, the decision to prioritize certain patients over others is based on triage principles that aim to maximize overall benefit. Additionally, in Scenario II, the duty of the surgeon to provide care to all patients may also be a relevant ethical consideration, while in Scenario I, the selection process may involve additional considerations of justice and beneficence.
Presenting a methodological framework for a multi-criteria assessment of sustainable transportation in: “Towards Sustainable Transport Assessment Considering Alternative Fuels Based on MCDA Methods“ by Jarosław Wątróbski, Aleksandra Bączkiewicz. Proceedings of the 17th Conference on Computer Science and Intelligence Systems(17th Conference on Information Systems Management), appeared in: ACSIS, Vol. 30, pages 799–808 (2022).
#MCDA #SPOTIS #ARAS
Open Access: https://lnkd.in/dYpK6bND
This article investigates contemporary expressions of racism toward Roma in the context of growing populism in the UK. We focus on how and why Romaphobia becomes widespread in times of socio-politi...
Multifunction radars (MFR) must achieve their capability requirements in an increasingly complex environment, populated with diverse and hostile targets (e.g. low Radar Cross-Section, low speed targets in clutter or high speed, ballistic targets) in saturating scenarios (due to e.g. RF interference or threats). These radar systems are increasingly exploiting active electronically scanned array (AESA) technology to dynamically schedule the use of multiple functions in a short duration. However, the increasing complexity and adaptive nature of MFR radar makes it very difficult to specify their performance in a way which can both deliver the required capability and which can be verified in a cost-effective manner. Due to their multi-function feature, the operational scenarios have a strong impact on MFR radars; their performances should be specified accordingly. Addressing the challenges in this area will benefit via better understood requirements which can be more easily interpreted. After definition of FoM (Figures of Merit) for phased array radar operation and performance, we have computed them on benchmark test scenarios of varying complexity. We describe a new methodology to aggregate these metrics to provide a global notation of MFR radar performances.
Kontur
🇺🇦 Sean Prophet ⚛
Marcin Paprzycki
Petre Breazu
nope
Eve Buron