10.21253/DMU.8181695.v2
David Wright
David
Wright
Rowena Rodrigues
Rowena
Rodrigues
Tally Hatzakis
Tally
Hatzakis
Corinna Pannofino
Corinna
Pannofino
Kevin Macnish
Kevin
Macnish
Mark Ryan
Mark
Ryan
Josephina Antoniou
Josephina
Antoniou
D1.2 SIS scenarios
De Montfort University
2019
SIS
ethics
scenarios
AI
Technology not elsewhere classified
2019-06-01 16:25:07
Online resource
https://figshare.dmu.ac.uk/articles/online_resource/D1_2_SIS_scenarios/8181695
<p>This deliverable considers the ethical, legal (data protection), social and economic impacts of new and emerging technologies, powered by artificial</p>
<p>intelligence (AI) and big data, which we call smart information systems (SIS). In this deliverable, we look forward to the year 2025 to consider how new and</p>
<p>emerging technologies may raise various issues, regarding which policymakers and other stakeholders should consider what ethical guidelines, data
</p><p>protection policies and other measures we might need to address the issues now rather than five or six years from now when they may have fewer policy</p>
<p></p><p>options. We have developed five scenarios, addressing five different technology clusters in five different areas – social care for senior citizens,
</p><p>information warfare, predictive policing, driverless cars and learning buddy robots. We engaged stakeholders in the development of these scenarios.</p>
<p>Stakeholder engagement was an important purpose of the scenario construction process. In short, the scenarios are a way of exploring with</p>
<p>stakeholders the issues raised by these advanced new technologies and developing recommendations for policymakers for dealing with those issues.</p>
<p>This deliverable comprises this executive summary, an introduction, the five scenarios, and conclusions and recommendations.</p><p></p>