Authors: Professor Dawn Bonfield MBE (Aston University);Professor Sarah Hitt SFHEA (NMITE); Dr Darian Meacham (Maastricht University); Dr Nik Whitehead (University of Wales Trinity Saint David); Dr Matthew Studley (University of the West of England, Bristol); Professor Mike Bramhall (TEDI-London); Isobel Grimley (Engineering Professors’ Council).

Topic: Data centres’ impact on sustainable water resources.

Engineering disciplines: Civil engineering, Electronic engineering.

Ethical issues: Sustainability, Respect for environment, Future generations, Risk, Societal impact.

Professional situations: Law or policy, Communication, Integrity.

Educational level: Intermediate.

Educational aim: Practise ethical judgement. Ethical Judgment is the activity of thinking about whether something has a moral attribute. Judgments involve reaching moral decisions and providing the rationale for those decisions.

 

Learning and teaching notes:

This case involves a situation where environmental damage may be occurring despite the mechanism causing this damage being permissible by law. The engineer at this centre of the case is to represent the company that is responsible for the potential damage, at a council meeting. It requires the engineer to weigh up various harms and goods, and make a decision that could seriously impact their own job or career. There is also a section at the end of this case study that contains technical information providing further details about the water cooling of ICT equipment.

This case study addresses two of AHEP 4’s themes: The Engineer and Society (acknowledging that engineering activity can have a significant societal impact) and Engineering Practice (the practical application of engineering concepts, tools and professional skills). To map this case study to AHEP outcomes specific to a programme under these themes, access AHEP 4 here and navigate to pages 30-31 and 35-37.

The dilemma in this case is presented in two parts. If desired, a teacher can use Part one in isolation, but Part two develops and complicates the concepts presented in Part one to provide for additional learning. The case allows teachers the option to stop at multiple points for questions and/or activities as desired.

Students have the opportunity to:

Teachers have the opportunity to:

 

Learning and teaching resources:

 

Summary:

The company Data Storage Solutions (DSS) has built a large data centre on land that was historically used for agriculture and owned by a farming operation. DSS was incorporated as a subsidiary of the farming company so that it could retain the water rights that were attached to the property. This ensured access to the large amount of water needed to cool their servers. This centre manages data from a variety of sources including the local hospital and university.

When the property was used as a farm, the farming operation never used its full allocation of water. Now, the data centre always uses the maximum amount legally allotted to it. For the rainy half of the year, this isn’t a problem. However, in more arid months, the nearby river almost runs dry, resulting in large volumes of fish dying. Other farmers in the area have complained that the water level in their wells has dropped, making irrigation much more expensive and challenging.

 

Dilemma – Part one:

You are a civil engineer working for DSS and have been requested by your boss to represent the company at a forthcoming local council meeting where the issue will be discussed. Your employer is sending you to justify the company’s actions and defend them against accusations of causing an environmental hazard in the local area which is reducing the water table for farmers and affecting local biodiversity. Your boss has told you that DSS has a right to the water and that it does not intend to change its behaviour. This meeting promises to be a contentious one as the local Green party and farmers’ union have indicated that they will be challenging the company’s water usage. How will you prepare for the meeting?

 

Optional STOP for questions and activities: 

1. Discussion: Personal values – What is your initial position on the issue? Do you see anything wrong with DSS’s water use? Why, or why not?

2. Discussion: Professional responsibilities – What ethical principles and codes of conduct are relevant to this situation?

3. Activity: Define and identify the relevant data you should compile to take to the meeting. What information do you need in order to be prepared?

4. Activity: Stakeholder mapping – Who are all the characters in the scenario? What are their positions and perspectives? How can you use these perspectives to understand the complexities of the situation more fully? Examples include:

Data Storage Solutions

5. Activity: Undertake a technical activity such as civil and / or electronic engineering related to the measurement of stream flow and calculating data centre cooling needs.

 

Dilemma – Part two:

As you prepare for the meeting, you reflect on several competing issues. For instance, you are an employee of DSS and have a responsibility to represent its interests, but can see that the company’s actions are environmentally harmful. You appreciate that the data centre is vital for the local community, including the safe running of schools and hospitals, and that its operation requires sufficient water for cooling. Your boss has told you that you must not admit responsibility for any environmental damage or biodiversity loss. You also happen to know that a new green battery plant is planning to open nearby that will create more data demand and has the potential to further increase DSS’s water use. You know that obtaining water from other sources will be costly to DSS and may not be practically possible, let alone commercially viable. What course of action will you pursue?

 

Optional STOP for questions and activities: 

1. Activity: Debate what course of action you should take. Should you take the company line despite knowing about the environmental impacts? Should you risk your reputation or career? What responsibilities do you have to fellow employees, the community, and the environment?

2. Activity: Risk analysis – What are the short- and long- term burdens and benefits of each course of action? Should environmental concerns outweigh others? Is there a difference between the environment locally and globally?

3. Activity and discussion: Read Sandra Postel’s case for a Water Ethic, and consider New Zealand’s recent legislation that gives a rainforest the same rights as a human. With this in mind, does the stream have a right to thrive? Do the fish have a right to a sustainable environment? Are humans ultimately at risk here, or just the environment? Does that answer change your decision? Why?

4. Activity: Prepare a statement for the council meeting. What will you argue?

5. Activity: The students should interrogate the pros and cons of each possible course of action including the ethical, the practical, the cost, the local relationship and the reputational damage implications. They should decide on their own preferred course of action and explain why the balance of pros and cons is preferable to other options. The students may wish to consider this from other perspectives, such as:

6. Activity: Role-play the council meeting, with students playing different characters representing different perspectives.

7. Activity: Allow students to reflect on how this case study has enabled them to see the situation from different angles, and whether this has helped them to understand the ethical concerns and come to an acceptable conclusion.

 

Annex – Accompanying technical information:

ICT equipment generates heat and so most devices must have a mechanism to manage their temperature. Drawing cool air over hot metal transfers heat energy to that air, which is then pushed out into the environment. This works because the computer temperature is usually higher than the surrounding air. There are several different mechanisms for data centre cooling, but the general approach involves chillers reducing air temperature by cooling water – typically to 7–10 °C, which is then used as a heat transfer mechanism. Some data centres use cooling towers where external air travels across a wet media so that the water evaporates. Fans expel the hot, wet air and the cooled water is recirculated. Other data centres use adiabatic economisers – where water is sprayed directly into the air flow, or onto a heat exchange surface, thereby cooling the air entering the data centre. With both techniques the evaporation results in water loss. A small 1 MW data centre using one of these types of traditional cooling can use around 25.5 million litres of water per year. Data centre water efficiency deserves greater attention. Annual reports show water consumption for cooling directly paid for by the operator, so there is an economic incentive to increase efficiency. As the total energy share of cooling has fallen with improving PUEs (Power Usage Effectiveness metric), the focus has been on electricity consumption, and so water has been a low priority for the industry. However, the largest contributor to the water footprint of a data centre is electricity generation. Where data centres own and operate the entire facility, there is more flexibility for exploring alternative sources of water, and different techniques for keeping ICT equipment cool.

 

Enhancements:

An enhancement for this case study can be found here.

 

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Any views, thoughts, and opinions expressed herein are solely that of the author(s) and do not necessarily reflect the views, opinions, policies, or position of the Engineering Professors’ Council or the Toolkit sponsors and supporters.

 

Authors: Dr Nicola Whitehead (University of Wales Trinity Saint David); Professor Sarah Hitt (NMITE); Emma Crichton (Engineers Without Borders UK); Dr Sarah Junaid (Aston University); Professor Mike Sutcliffe (TEDI-London), Isobel Grimley (Engineering Professors’ Council).

Topic: Development and use of a facial recognition system. 

Engineering disciplines: Data, Electronics, Computer science, AI.

Ethical issues: Diversity, Bias, Privacy, Transparency.

Professional situations: Rigour, Informed consent, Misuse of data, Conflicts with leadership / management.

Educational level: Advanced. 

Educational aim: To encourage ethical motivation. Ethical motivation occurs when a person is moved by a moral judgement, or when a moral judgement is a spur to a course of action. 

 

Learning and teaching notes: 

This case involves an engineer hired to manage the development and installation of a facial recognition project at a building used by university students, businesses and the public. It incorporates a variety of components including law and policy, stakeholder and risk analysis, and both macro- and micro-ethical elements. This example is UK-based: however, the instructor can adapt the content to better fit the laws and regulations surrounding facial recognition technology in other countries, if this would be beneficial.

This case study addresses two of AHEP 4’s themes: The Engineer and Society (acknowledging that engineering activity can have a significant societal impact) and Engineering Practice (the practical application of engineering concepts, tools and professional skills). To map this study to AHEP outcomes specific to a programme under these themes, access AHEP4 here and navigate to pages 30-31 and 35-37.

This case is presented in three parts. If desired, a teacher can use Part one in isolation, but Part two (focusing on the wider ethical context of the case) and Part three (focusing on the potential actions the engineer could take)develop and complicate the concepts presented in Part one to provide for additional learning. The case study allows teachers the option to stop at multiple points for questions and / or activities as desired.

Learners have the opportunity to:

Teachers have the opportunity to: 

 

Learning and teaching resources:

 

Summary: 

Metropolitan Technical University (MTU), based in the UK, has an urban campus and many of its buildings are located in the city centre. A new student housing development in this area will be shared by MTU, a local college, and medical residents doing short rotations at the local hospital. The building has a public café on the ground floor and a couple of classrooms used by the university. 

The housing development sits alongside a common route for parades and protests. In the wake of demonstrations by Extinction Rebellion and Black Lives Matter, students have raised concerns to the property manager about safety. Despite an existing system of CCTV cameras and swipe cards, the university decides to install an enhanced security system, built around facial recognition technology that would enable access to the building and cross-reference with crime databases. To comply with GDPR, building residents will be required to give explicit consent before the system is implemented. Visitors without a student ID (such as café customers) will be buzzed in, but their image will be captured and cross-referenced before entry. A side benefit of the system is that MTU’s department of Artificial Intelligence Research will help with the installation and maintenance, as well as studying how it works, in order to make improvements. 

 

Dilemma – Part one:

You are an engineer who has been hired by MTU to take charge of the facial recognition system installation project, including setting policies and getting the system operational. With your background in AI engineering, you are expected to act as a technical advisor to MTU and liaise with the Facilities, Security and Computing departments to ensure a smooth deployment. This is the first time you have worked on a project that involves image capture. So as part of your preparation for the project, you need to do some preliminary research as to what best practices, guidance, and regulations apply.

 

Optional STOP for questions and activities: 

1. Discussion: What are the legal issues relating to image capture? Images allow for the identification of living persons and are therefore considered as personal data under GDPR and the Data Protection Act (2018).

2. Discussion: Sharing data is a legally and ethically complex field. Is it appropriate to share images captured with the police? If not the police, then whose crime database will you use? Is it acceptable to share the data with the Artificial Intelligence Research group? Why, or why not?

3. Discussion: Under GDPR, individuals must normally consent to their personal data being processed. How should consent be handled in this case?

4. Discussion: Does the fact that the building will accommodate students from three different institutions (MTU, the local college, and the hospital) complicate these issues? Are regulations related to students’ captured images different than those related to public image capture?

5. Activity: Undertake a technical activity that relates to how facial recognition systems are engineered.

 

Dilemma – Part two:

The project has kicked off, and one of its deliverables is to establish the policies and safeguards that will govern the system. You convened a meeting of project stakeholders to determine what rules need to be built into the system’s software and presented a list of questions to help you make technical decisions. The questions you asked were:

What you had thought would be a quick meeting to agree basic principles turned out to be very lengthy and complex. You were surprised at the variety of perspectives and how heated the discussions became. The discussions raised some questions in your own mind as to the risks of the facial recognition system.

 

Optional STOP for questions and activities:

The following activities focus on macro-ethics. This seeks to understand the wider ethical contexts of projects like the facial recognition system.

1. Activity: Stakeholder mapping – Who are all the stakeholders and what might their positions and perspectives be? Is there a difference between the priorities of the different stakeholders?

2. Activity: There are many different values competing for priority here. Identify these values, discuss and debate how they should be weighed in the context of the project.

3. Activity: Risks can be understood as objective and / or subjective. Research the difference between these two types of risk, and identify which type(s) of risks exist related to the project.

4. Discussion: Which groups or individuals are potentially harmed by the technology and which potentially benefit? How should we go about setting priorities when there are competing harms and benefits?

5. Discussion: Does the technology used treat everyone from your stakeholders’ list equally? Should the needs of society as a whole outweigh the needs of the individual?

6. Activity: Make and defend an argument as to the appropriateness of installing and using the system.

7. Discussion: What responsibilities do engineers have in developing these technologies?

 

Dilemma – Part three:

A few days later, you were forwarded a screenshot of a social media post that heavily criticised the proposed facial recognition system. It was unclear where the post had originated, but it had clearly been shared and promoted among both students and the public raising concerns about privacy and transparency. Your boss believes this outcry endangers the project and has requested that you make a public statement on behalf of MTU, reaffirming its commitment to installing the system.

You share the concerns, but have been employed to complete the project. You understand that suggesting it should be abandoned, would most likely risk your job. What will you tell your boss? How will you prepare your public statement?

 

Optional STOP for questions and activities:

Micro-ethics concerns individuals and their responses to specific situations. The following steps are intended to help students develop their ability to practise moral analysis by considering the problem in a structured way and work towards possible solutions that they can analyse critically.

 1. Discussion: What are the problems here? 

2. Discussion: What are the possible courses of action you can take as an employee?

 Students can be prompted to consider what different approaches they might adopt, such as the following, but can also develop their own possible responses. 

3. Discussion: Which is the best approach and why? – Interrogate the pros and cons of each possible course of action including the ethical, practical, cost, local relationship and the reputational damage implications. Students should decide on their own preferred course of action and explain why the balance of pros and cons is preferable to other options. The students may wish to consider this from other perspectives, such as: 

4. Activity: Public Communication – Students can practise writing a press release, giving an interview, or making a public statement about the case and the decision that they make.

5. Activity: Reflection – Students can reflect on how this case study has enabled them to see the situation from different angles. Has it motivated them to understand the ethical concerns and to come to an acceptable conclusion.

 

Enhancements:

An enhancement for this case study can be found here.

 

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Any views, thoughts, and opinions expressed herein are solely that of the author(s) and do not necessarily reflect the views, opinions, policies, or position of the Engineering Professors’ Council or the Toolkit sponsors and supporters.

Authors: Professor Mike Sutcliffe (TEDI-London); Professor Mike Bramhall (TEDI-London); Prof Sarah Hitt SFHEA (NMITE); Johnny Rich (Engineering Professors’ Council); Professor Dawn Bonfield MBE (Aston University); Professor Chike Oduoza (University of Wolverhampton); Steven Kerry (Rolls-Royce); Isobel Grimley (Engineering Professors’ Council).

Topic: Smart meters for responsible everyday energy use.

Engineering disciplines: Electrical engineering

Ethical issues: Integrity, Transparency, Social responsibility, Respect for the environment, Respect for the law

Professional situations: Communication, Privacy, Sustainability

Educational level: Beginner

Educational aim: To encourage ethical motivation. Ethical motivation occurs when a person is moved by a moral judgement, or when a moral judgement is a spur to a course of action. 

 

Learning and teaching notes:

This case is an example of ‘everyday ethics’. A professional engineer must give advice to a friend about whether or not they should install a smart meter. It addresses issues of ethical and environmental responsibility as well as public policy, financial burdens and data privacy. The case helps to uncover values that underlie assumptions that people hold about the environment and its connection to human life and services. It also highlights the way that those values inform everyday decision-making.

This case study addresses two of AHEP 4’s themes: The Engineer and Society (acknowledging that engineering activity can have a significant societal impact) and Engineering Practice (the practical application of engineering concepts, tools and professional skills). To map this case study to AHEP outcomes specific to a programme under these themes, access AHEP 4 here and navigate to pages 30-31 and 35-37.

The dilemma in this case is presented in three parts that build in complexity. If desired, a teacher can use Part one in isolation, but Part two and Part three develops and complicates the concepts presented in Part one in order to provide additional learning. The case allows teachers the opportunity to stop at various points to pose questions and/or set activities.

Learners have the opportunity to:

Teachers have the opportunity to:

 

Learning and teaching resources:

 

Summary – Part one:

Sam and Alex have been friends since childhood. As they have grown older, they have discovered that they hold very different political and social beliefs, but they never let these differences of opinion get in the way of a long and important friendship. In fact, they often test their own ideas against each other in bantering sessions, knowing that they are built on a foundation of respect.

Sam works as an accountant and Alex has become an environmental engineer. Perhaps naturally, Alex often asks Sam for financial advice, while Sam depends on Alex for expert information related to sustainability and the environment. One day, knowing that Alex is knowledgeable about the renewable energy industry and very conscious of the impact of energy use at home, Sam messages Alex to say he is getting pressure from his energy company to install a smart meter.

Sam has been told that smart metering is free, brings immediate benefits to customers by helping them to take control of their energy usage, and is a key enabler for the transition away from fossil fuels use and towards the delivery of net zero emissions by 2050. Smart meters give consumers near real-time information on energy use, and the associated cost, enabling them to better manage their energy use, save money and reduce emissions. A further benefit is that they could charge their electric car far more cheaply using a smart meter on an overnight tariff.

Yet Sam has also read that smart meters ‘go dumb’ if customers switch providers and, as a pre-payment customer, this option may not be available with a smart meter. In addition, Sam suspects that despite claims that the smart meter roll out is free, the charge is simply being passed on to customers through their energy bills instead. Alex tries to give Sam as much good information as possible, but the conversation ends with the decision unresolved.

 

Optional STOP for questions and activities: 

1. Discussion and activity: Personal values – We know that Sam and Alex have different ideas and opinions about many things. This probably stems from a difference in how they prioritise values. For instance, valuing transparency over efficiency, or sustainability over convenience. Using this values activity as a prompt, what personal values might be competing in this particular case?

2. Discussion and activity: Everyday ethics – Consider what values are involved in your everyday choices, decisions, and actions. Write a reflective essay on three events in the past week that, upon further analysis, have ethical components.

3. Discussion: Professional values – Does Alex, as an environmental engineer, have a responsibility to advocate installing smart meters? If so, does he have more responsibility than a non-engineer to advocate for this action? Why, or why not?

4. Discussion: Wider impact – Are there broader ethical issues at stake here?

5. Activity: Role-play a conversation between Sam and Alex that includes what advice should be given and what the response might be.

 

Dilemma – Part two:

After getting more technical information from Alex, Sam realises that, with a smart meter, data on the household’s energy usage would be collected every 30 minutes.  This is something they had not anticipated, and they ask a number of questions about the implications of this. Furthermore, while Sam has already compared tariffs and costs as the main way to choose the energy provider, Alex points out that different providers use different energy sources such as wind, gas, nuclear, coal, and solar. Sam is on a tight budget but Alex explains that the cheaper solution is not necessarily the most environmentally responsible choice. Sam is frustrated: now there is something else to consider besides whether or not to install the smart meter.

 

Optional STOP for questions and activities:  

1. Activity: Technical integration Undertake an electrical engineering technical activity related to smart meters and the data that they collect.

2. Activity: Research what happens with the data collected by a smart meter. Who can access this data and how is privacy protected? How does this data inform progress towards the energy transition from fossil fuels?

3. Activity: Research different energy companies and their approach to responsible energy sourcing and use. How do these companies communicate that approach to the public? Which company would you recommend to your friend and why?

4. Activity: Cost-benefit analysis – Sometimes the ethical choice is the more expensive choice. How do you balance short- and long-term benefits in this case? When, if ever, would it be ethically right to choose energy from non-renewable sources? How would this choice differ if the context being considered was different? For example, students could think about responsible energy use in industrialised economies versus the developing world and energy justice.

 

Dilemma – Part three:

Following this exchange with Sam, Alex becomes aware that one of the main obstacles in energy transition concerns communication with the public. Ideally, Alex wants to persuade family and other friends to make more responsible choices; however, it is clear that there are many more factors involved than can be seen in one glance. This includes what kinds of pressure is put on consumers by companies and the government. Alex begins to reflect on how policy drives what engineers think and do, and joins a new government network on Engineering in Policy.  

Alex and Sam meet up a little while later, and Sam announces that yes, a smart meter has been installed. At first Alex is relieved, but then Sam lets it slip that they are planning to grow marijuana in their London home. Sam asks whether this spike in energy use will be picked up as abnormal by a smart meter and whether this would lead to them being found out.

 

Optional STOP for questions and activities:  

1. Discussion: Personal values – What are the ethics involved in trying to persuade others to make similar choices to you?

2. Discussion and activity: Legal responsibility – What should Alex say or do about Sam’s disclosure? Role-play a conversation between Sam and Alex.

3. Discussion: Professional responsibility – What role should engineers play in setting and developing public policy on energy?

4. Activity: Energy footprint – Research which industries use the most energy and, on a smaller scale, which home appliances use the most energy.

 

Enhancements:

An enhancement for this case study can be found here.

 

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Any views, thoughts, and opinions expressed herein are solely that of the author(s) and do not necessarily reflect the views, opinions, policies, or position of the Engineering Professors’ Council or the Toolkit sponsors and supporters.

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