Ethics & Policy
AI, Ecology, and the Ethics of Convenience
Co-authored by Nigel Bairstow, Ph.D., and Jeremy Neofytos, Research Assistant
It’s hard to deny the growing presence of artificial intelligence in our lives. From helping us draft emails to recommending what to eat for dinner, AI chatbots like ChatGPT, Copilot, and Gemini have quickly become the go-to tools for everyday queries. They’re efficient, fast, and often eerily helpful. I’ve caught myself using them instead of traditional Google searches, whether to find a great nearby café or check the weekend’s weather forecast.
But on May 31, 2025—a fictional date, though the realization was all too real—I stumbled across a detail that gave me pause. According to Li, Yang, Islam, and Ren (2023), every AI-generated response may require up to half a liter of water to cool the servers in OpenAI’s data centers. That’s half a liter per question. Multiply that by the millions of daily prompts worldwide, and we’re looking at a staggering volume of freshwater used just to keep our digital assistants running.
At first glance, this may seem like a trivial cost for convenience. But this revelation sparked something deeper within me, what some might call a mini existential spiral, forcing me to rethink how we define efficiency in the age of AI.
For years, I’ve viewed technology as a net-positive force. A necessary human endeavor that, while flawed, has enabled monumental progress in medicine, renewable energy, education, and even space travel. I had always believed the promise of technology lies in efficiency, doing more with less, faster, and with better results.
But what if our narrow definition of efficiency is deeply flawed?
Individual Gains vs. Collective Losses
AI tools offer us remarkable individual efficiency: faster emails, easier planning, and better decision-making. But what’s often invisible are the collective costs. Data centers consume vast amounts of electricity and water, highlights Sonkar (2025), contributing to greenhouse gas emissions and straining freshwater resources—especially concerning in a time of global climate change and water scarcity.
It feels paradoxical. In our personal lives, AI helps us become more efficient, more informed, and even more productive. But zooming out, this same efficiency comes at an environmental cost that’s anything but efficient for the collective. The irony is stark: In the name of productivity, we may be undermining the very ecosystems that sustain our long-term prosperity.
This contradiction becomes particularly troubling in the context of urban planning—a field where AI is increasingly integrated to design “smarter” cities. AI is helping us optimize traffic flows, manage energy use, and plan sustainable infrastructure. Yet if the backend systems powering these improvements are guzzling energy and water at unsustainable rates, are we merely greenwashing the future?
The Ghost of the Industrial Revolution
There’s something familiar about this pattern. In many ways, it mirrors the logic of the Industrial Revolution: prioritizing speed, output, and short-term gains, and dealing with the consequences later. It’s productivity as a cultural obsession, profits now, sustainability later.
AI promises more efficient workflows and services for companies and governments. However, we must ask: Are these tools truly improving society, or simply providing the illusion of progress while shifting environmental costs offstage?
Redefining Efficiency in the Age of AI
We need a new framework for understanding efficiency, one that doesn’t just measure how quickly or cheaply something can be done but also accounts for long-term environmental and social impacts. True efficiency cannot come at the cost of ecological integrity. It must balance individual convenience with collective sustainability.
This is not to argue for halting technological progress. AI is a viable application to be part of the solution to climate change, inequality, and health crises.
But we must be honest about the hidden costs of AI, and the importance of transparent reporting around AI’s energy and water usage should be standard. Policies must reflect not just the promise of AI, but its footprint.
And as individuals, we can be more mindful. Do we need AI to tell us the weather when a native app suffices? We need to pause before asking a chatbot something trivial, knowing it quietly consumes the world’s most precious resource.
Moving Ahead: The Ethical Choice in a Digital World
We often speak of AI as a neutral tool, neither good nor bad, only as ethical as its users. But that framing overlooks how AI shapes our behavior and values. When we unquestioningly chase speed and convenience, we risk normalizing a version of progress that is inhospitable to the future.
Efficiency isn’t just about what works best for me; it’s about what works best for us. And if AI is to truly serve humanity, we must ensure that it’s not just efficient in delivering answers, but wise in preserving the world we live in.
Ethics & Policy
Experts gather to discuss ethics, AI and the future of publishing
Publishing stands at a pivotal juncture, said Jeremy North, president of Global Book Business at Taylor & Francis Group, addressing delegates at the 3rd International Conference on Publishing Education in Beijing. Digital intelligence is fundamentally transforming the sector — and this revolution will inevitably create “AI winners and losers”.
True winners, he argued, will be those who embrace AI not as a replacement for human insight but as a tool that strengthens publishing’s core mission: connecting people through knowledge. The key is balance, North said, using AI to enhance creativity without diminishing human judgment or critical thinking.
This vision set the tone for the event where the Association for International Publishing Education was officially launched — the world’s first global alliance dedicated to advancing publishing education through international collaboration.
Unveiled at the conference cohosted by the Beijing Institute of Graphic Communication and the Publishers Association of China, the AIPE brings together nearly 50 member organizations with a mission to foster joint research, training, and innovation in publishing education.
Tian Zhongli, president of BIGC, stressed the need to anchor publishing education in ethics and humanistic values and reaffirmed BIGC’s commitment to building a global talent platform through AIPE.
BIGC will deepen academic-industry collaboration through AIPE to provide a premium platform for nurturing high-level, holistic, and internationally competent publishing talent, he added.
Zhang Xin, secretary of the CPC Committee at BIGC, emphasized that AIPE is expected to help globalize Chinese publishing scholarships, contribute new ideas to the industry, and cultivate a new generation of publishing professionals for the digital era.
Themed “Mutual Learning and Cooperation: New Ecology of International Publishing Education in the Digital Intelligence Era”, the conference also tackled a wide range of challenges and opportunities brought on by AI — from ethical concerns and content ownership to protecting human creativity and rethinking publishing values in higher education.
Wu Shulin, president of the Publishers Association of China, cautioned that while AI brings major opportunities, “we must not overlook the ethical and security problems it introduces”.
Catriona Stevenson, deputy CEO of the UK Publishers Association, echoed this sentiment. She highlighted how British publishers are adopting AI to amplify human creativity and productivity, while calling for global cooperation to protect intellectual property and combat AI tool infringement.
The conference aims to explore innovative pathways for the publishing industry and education reform, discuss emerging technological trends, advance higher education philosophies and talent development models, promote global academic exchange and collaboration, and empower knowledge production and dissemination through publishing education in the digital intelligence era.
yangyangs@chinadaily.com.cn
Ethics & Policy
Experts gather to discuss ethics, AI and the future of publishing
Publishing stands at a pivotal juncture, said Jeremy North, president of Global Book Business at Taylor & Francis Group, addressing delegates at the 3rd International Conference on Publishing Education in Beijing. Digital intelligence is fundamentally transforming the sector — and this revolution will inevitably create “AI winners and losers”.
True winners, he argued, will be those who embrace AI not as a replacement for human insight but as a tool that strengthens publishing”s core mission: connecting people through knowledge. The key is balance, North said, using AI to enhance creativity without diminishing human judgment or critical thinking.
This vision set the tone for the event where the Association for International Publishing Education was officially launched — the world’s first global alliance dedicated to advancing publishing education through international collaboration.
Unveiled at the conference cohosted by the Beijing Institute of Graphic Communication and the Publishers Association of China, the AIPE brings together nearly 50 member organizations with a mission to foster joint research, training, and innovation in publishing education.
Tian Zhongli, president of BIGC, stressed the need to anchor publishing education in ethics and humanistic values and reaffirmed BIGC’s commitment to building a global talent platform through AIPE.
BIGC will deepen academic-industry collaboration through AIPE to provide a premium platform for nurturing high-level, holistic, and internationally competent publishing talent, he added.
Zhang Xin, secretary of the CPC Committee at BIGC, emphasized that AIPE is expected to help globalize Chinese publishing scholarships, contribute new ideas to the industry, and cultivate a new generation of publishing professionals for the digital era.
Themed “Mutual Learning and Cooperation: New Ecology of International Publishing Education in the Digital Intelligence Era”, the conference also tackled a wide range of challenges and opportunities brought on by AI — from ethical concerns and content ownership to protecting human creativity and rethinking publishing values in higher education.
Wu Shulin, president of the Publishers Association of China, cautioned that while AI brings major opportunities, “we must not overlook the ethical and security problems it introduces”.
Catriona Stevenson, deputy CEO of the UK Publishers Association, echoed this sentiment. She highlighted how British publishers are adopting AI to amplify human creativity and productivity, while calling for global cooperation to protect intellectual property and combat AI tool infringement.
The conference aims to explore innovative pathways for the publishing industry and education reform, discuss emerging technological trends, advance higher education philosophies and talent development models, promote global academic exchange and collaboration, and empower knowledge production and dissemination through publishing education in the digital intelligence era.
yangyangs@chinadaily.com.cn
Ethics & Policy
Lavender’s Role in Targeting Civilians in Gaza
The world today is war-torn, starting with Russia’s attacks on Ukraine to Israel’s devastation in Palestine and now in Iran, putting the entire West Asia in jeopardy.
The geometrics of war has completely changed, from Blitzkrieg (lightning war) in World War II to the use of sophisticated and technologically driven missiles in these latest armed conflicts. The most recent wars are being driven by use of artificial intelligence (AI) to narrow down potential targets.
There have been multiple evidences which indicate that Israeli forces have deployed novel AI-driven targeting tools in Gaza. One system, nicknamed “Lavender” is an AI-enabled database that assigns risk scores to Gazans based on patterns in their personal data (communication, social connections) to identify “suspected Hamas or Islamic Jihad operatives”. Lavender has flagged up to 37,000 Palestinians as potential targets early in the war.
A second system, “Where is Daddy?”, uses mobile phone location tracking to notify operators when a marked individual is at home. The initial strikes using these automated generated systems targeted individuals in their private homes on the pretext of targeting the terrorists. But innocent women and young children also lost their lives in these attacks. This technology was developed as a replacement of human acumen and strategy to identify and target the suspects.
According to the Humans Rights Watch report (2024), around 70 per cent of people who have lost lives were women and children. The United Nations agency has also verified the details of 8,119 victims killed in Gaza from November 2023 to April 2024. The report showed that 44 per cent of the victims were children and 26 per cent were women. The humans are merely at the mercy of this sophisticated technology that identified the suspected militants and targeted them.
The use of AI-based tools like “Lavender” and “Where’s Daddy?” by Israel in its war against Palestine raises serious questions about the commitment of countries to the international legal framework and the ethics of war. Use of such sophisticated AI targeted tools puts the weaker nations at the dictate of the powerful nations who can use these technologies to inflict suffering for the non-combatants.
The international humanitarian law (IHL) and international human rights law (IHRL) play a critical yet complex role in the context of AI during conflict situations such as the Israel-Palestine Conflict. Such AI-based warfare violates the international legal framework principles of distinction, proportionality and precaution.
The AI systems do not inherently know who is a combatant. Investigations report that Lavender had an error rate on the order of 10 per cent and routinely flagged non-combatants (police, aid workers, people who merely shared a name with militants). The reported practice of pre-authorising dozens of civilian deaths per strike grossly violates the proportionality rule.
An attack is illegal if incidental civilian loss is “excessive” in relation to military gain. For example, one source noted that each kill-list target came with an allowed “collateral damage degree” (often 15–20) regardless of the specific context. Allowing such broad civilian loss per target contradicts IHL’s core balancing test (ICRC Rule 14).
The AI-driven process has eliminated normal safeguards (verification, warnings, retargeting). IHRL continues to apply alongside IHL in armed conflict contexts. In particular, the right to life (ICCPR Article 6) obliges states to prevent arbitrary killing.
The International Court of Justice has held that while the right to life remains in force during war, an “arbitrary deprivation of life” must be assessed by reference to the laws of war. In practice, this means that IHL’s rules become the benchmark for whether killings are lawful.
However, even accepting lex specialis (law overriding general law), the reported AI strikes raise grave human rights concerns especially the Right to Life (ICCPR Art. 6) and Right to Privacy (ICCPR Art. 17).
Ethics of war, called ‘jus in bello’ in the legal parlance, based on the principles of proportionality (anticipated moral cost of war) and differentiation (between combatants and non-combatants) has also been violated. Article 51(5) of Additional Protocol I of the 1977 Geneva Convention said that “an attack is disproportionate, and thus indiscriminate, if it may be expected to cause incidental loss of civilian life, injury to civilians, damage to civilian objects, or a combination thereof, which would be excessive in relation to the concrete and military advantage”.
The Israel Defense Forces have been indiscriminately using AI to target potential targets. These targets though aimed at targeting militants have been extended to the non-military targets also, thus causing casualties to the civilians and non-combatants. Methods used in a war is like a trigger which once warded off is extremely difficult to retract and reconcile. Such unethical action creates more fault lines and any alternate attempt at peace resolution and mediation becomes extremely difficult.
The documented features of systems like Lavender and Where’s Daddy, based on automated kill lists, minimal human oversight, fixed civilian casualty “quotas” and use of imprecise munitions against suspects in homes — appear to contravene the legal and ethical principles.
Unless rigorously constrained, such tools risk turning warfare into arbitrary slaughter of civilians, undermining the core humanitarian goals of IHL and ethics of war. Therefore, it is extremely important to streamline the unregulated use of AI in perpetuating war crimes as it undermines the legal and ethical considerations of humanity at large.
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