The AI Paradox: A Safety and Sustainability Saviour or Saboteur?
For all the headlines and column inches, AI is not new – it’s been with us for at least 70 years. What is new is the rapid and disruptive application into almost every sector, the exponential growth of its power, the energy it’s consuming and its potential safety, security and environmental implications.?
As with other technology innovations, AI presents the ‘Janus-faced’ challenge of potentially opposing, good and bad aspects. We are forced to grapple with uncomfortable choices. Some of AI’s most constructive and beneficial use cases appear costly or risky to pursue. Should we tolerate those costs and risks (at least in the short term) in the pursuit of elusive future benefits??
Countries afraid of being left behind in the race to dominate this technology are tearing up rule books around access to data and copyright laws.?
With this genie firmly ‘out of its bottle’ do we have any hope of controlling it or remaining its master?
To kick off this dialogue, we share some key perspectives in this short video interview with Hannah Burton , Associate Solicitor at Pinsent Masons, and Rebecca Allen , Director, Pardalis Solutions UK — along with the tough questions we should all be asking:
The energy dilemma: Powering progress or pollution?
AI is an energy hog — according to estimates from respected energy analysts WoodMac, by 2050, AI and data centres could collectively consume up to 4,500 terawatt-hours (TWh) of power, roughly equivalent to the power consumed by the entire United States. This exponential energy consumption adds yet more risk to our global emissions challenge.
The optimistic view highlights how some data centres are making strides with renewable energy — and how AI is being used to optimise power grids on a broader scale. Yet, the question remains: Can we afford to power the AI revolution at the expense of our already-beleaguered climate?
Challenge your thinking:
Are you working with your energy and data providers to optimise renewable energy use and reduce your AI's greenhouse gas impact? Or are you adding to the problem? Organisations must take responsibility for the environmental impact of their AI adoption, actively seeking ways to offset the increased energy burden.
The safety conundrum: Enhanced protection or unforeseen risks?
AI advocates point to its scope to protect people. Imagine AI-powered systems that predict and prevent accidents, identify hazards before they become disasters and enhance safety protocols in real-time.?
But what about the risks we haven't anticipated? Can we guarantee the reliability and ethical application of these systems? And what happens when AI malfunctions —?or falls into the wrong hands??
AI Watchlist: Weighing the net benefit (or risk) of AI means juggling an expanding web of interconnected factors. Our AI Watchlist helps visualize this web of visible outcomes and hidden impacts. Dive into the watchlist >
Here’s an example to bring this yin and yang to life: Imagine a high-risk context like chemical management. AI might optimise data connections across silos, regions and operations to reveal opportunities for cost reductions, less pollution and accident prevention that wouldn't be visible through manual review.
But there are also potential safety risks if human operators overestimate the smartness of a particular AI decision support in a particular context.?
Even if business leaders to retain control and ensure AI remains a “supporting act” to human decision-making at a high level within the business, it’s possible that stripped down workforces will find it difficult to override AI prompts at the coalface.?
Challenge your thinking:
Can we trust AI with life-or-death decisions in high-stakes environments? How do we balance the potential safety enhancements of AI in chemical management with the need for human oversight and ethical considerations??
The sustainability equation: Driving efficiency or deepening divides?
AI can be a powerful tool for sustainability. From optimising resource management and reducing waste to enhancing supply chain transparency and accelerating the development of green technologies, businesses are already using AI to refine carbon-intensive ecosystems like transport, water management, agriculture, manufacturing and construction.
But AI also has the potential to exacerbate existing inequalities, automate jobs out of existence and create new forms of environmental exploitation. Can we harness AI's potential for good while mitigating its potential for harm??
Challenge your thinking:
Consider the use of AI in precision agriculture. While it can optimise resource use and increase yields, it also carries the risk of further consolidating power in the hands of large agricultural corporations and displacing small farmers. How do we ensure that AI-driven advancements in agriculture benefit all stakeholders, not just the privileged few?
The challenge ahead: Balancing ambition with accountability
At EcoOnline, our focus remains on leveraging AI for collective net benefit in areas like sustainability reporting, legislative compliance, data automation, gap analysis, supply chain engagement and risk identification. We’re confident that AI can unlock significant efficiencies and drive progress towards a more sustainable future. But to walk that tightrope towards net benefit, we’ve identified three key commitments companies can make:
Take action: Are you actively shaping the AI revolution — or sitting on the sidelines?
Join our newly launched The Situation Room forum to add your voice to the conversation.
Topic for forum discussion: How much do you trust AI as a solution for a safer, more sustainable world? What experiences or news have shaped your view?
The AI revolution is charging ahead — with or without responsible voices
The harsh reality is that the AI revolution is happening —?whether the most careful and considerate actors are ready or not.
It’s a lesson we should’ve learned from the many tech revolutions in our lifetimes: from the internet to smartphones and social media, if those responsible actors aren’t ready to actively shape the technology, the immediate incentives of muscular capitalism may push it beyond any hope of responsible control.?
Now is the time to do the hard work of steering this AI revolution along the best path — starting with honest conversations about what trade-offs we’re willing to tolerate between the promises of AI use cases and our future safety and sustainability.
Join our first live debate: Will AI make us safer or put the planet at risk?
AI is transforming energy, reducing emissions and improving workplace safety — but at what cost?
Be part of The Situation Room’s first live debate, where we’ll challenge assumptions, debate the trade-offs, and explore what’s needed to shape AI’s future.
Wednesday, 26 March | 3:00 PM GMT | 30 minutes
More about this situation:?
How Data Centres and The Energy Sector Can Sate AI’s Hunger for Power – McKinsey & Company?
New Guidance Issued to Help UK Government Departments Evaluate AI’s Impact – Global Government Forum?
News stories we’re following:
The Paris Summit Marks A Tipping Point on AI’s Safety and Sustainability – The Conversation?
How AI’s Rise Changed Microsoft’s Sustainability Strategy – Sustainability Magazine
Group Product Marketing Manager
2 天前Craig McQueen thought you might find this read interesting.
Business Development - Enterprise Division at EcoOnline Global
2 天前Insightful
Senior VP ESG & Sustainability, Coach, Advisor
3 天前This massive area of development has so much potential, but so much to be carefully managed too. This month, we'll be keen to understand how we can strike the right balance with AI to make us safer and protect our precious environment more effectively ... looking forward to hearing what people think ??
Professional Services Training Manager @ EcoOnline Global | CITP, Training Strategy
3 天前Really good read. I'm excited with what AI can bring us as long as its used correctly and not shoehorned into things as its the cool thing to do. We must make sure it adds value, like our AI checklists which can create checklists easily. As with all AI these still need to be human checked but it makes a task that took 20 minutes now only take 5 minutes.