Why The Future Of AI Has To Be Sustainable
Exploring AI's Role In Creating A More Sustainable Future Beyond Efficiency And Productivity
On January 23, Mark Minevich (Chief Digital AI Strategist & Author) joined me on “What’s the BUZZ?” and shared how we can create a sustainable future with AI. AI has the potential to drive sustainability and human-centric advancement. But that requires responsible AI practices, focusing on privacy, bias, energy consumption, and alignment with UN SDG goals. AI programs and use cases in a business can contribute to the overarching goal of increased sustainability. But what does that mean for AI leaders working on AI implementations? Here is what we’ve talked about…
AI's Human-Centric Potential Beyond Efficiency
Business leaders are frequently approaching AI as a technology topic aimed at creating efficiencies in a business and increasing productivity. While this is an important value proposition, it’s just part of the technology’s potential. Enhancing sustainability and human well-being as the other aspects comes at a crucial time when the world grapples with significant challenges such as climate change, public health crises, and the need for sustainable energy solutions. AI can drive innovations across key sectors like climate science, healthcare, infrastructure, and energy management. Despite some corporations showing initiative, businesses need to demonstrate a more widespread and committed effort to embed sustainability and inclusiveness at the heart of AI applications.
Measuring Successful And Sustainable AI Initiatives
But it is not just leaders and individual businesses who need to step up. Frameworks are necessary for gauging the success of AI integration in societal advancement, emphasizing privacy, bias elimination, energy efficiency, and alignment with the United Nations' Sustainable Development Goals (SDGs). It is important to design AI systems that inherently respect user privacy and collect as little data as possible to maintain public trust. Bias remains a key concern within AI algorithms which often stems from the lack of diversity among AI researchers and developers. Stricter measures to detect, quantify, and mitigate bias at every stage of AI development and application are needed in addition to diverse data sets and implementing corrective actions. Addressing the environmental impact of AI, particularly its substantial energy consumption, businesses should seek out strategies for reducing AI's carbon footprint.
» Companies must continue to promote responsible and ethical AI and focus from their angle. «
— Mark Minevich
Establishing Ethics Committees For Generative AI Governance
Expanding on governance and ethical considerations, ethics committees overseeing the responsible development and deployment of AI can further bring ethical considerations to the forefront. Education and awareness about responsible AI practices are fundamental to empowering both the workforce and the general public, fostering an environment where ethical AI usage becomes the norm. Beyond that, Generative AI consumes a considerable amount of energy. Pivoting towards renewable energy sources and advanced cooling technologies can mitigate the ecological impact of AI's energy needs. AI has to be a key force in creating a responsible, ethically guided, and environmentally sustainable AI future.
AI plays a central role in shaping a sustainable, inclusive future. Its potential extends beyond efficiency, encompassing critical areas like climate change, healthcare, and energy. AI success is measured by its impact on privacy, bias, energy consumption, and adherence to the UN SDGs. Responsible AI governance is possible with the help of ethical committees and comprehensive education. Mid-term, businesses need to monitor the high energy consumption of Generative AI and shift towards renewable energy sources to sustain AI's growing demands.
Is Sustainability part of your AI project priorities, yet?
Explore related articles
Become an AI Leader
Join my bi-weekly live stream and podcast for leaders and hands-on practitioners. Each episode features a different guest who shares their AI journey and actionable insights. Learn from your peers how you can lead artificial intelligence, generative AI & automation in business with confidence.
Join us live
February 09 - Bill Schmarzo, Professor & Author, will share how AI leaders can help increase their peers’ data & AI literacy.
February 15 - T. Scott Clendaniel, VP & AI Instructor, will share his view on using Generative AI to improve the user experience.
February 27 - Carly Taylor, Director of Franchise Security Strategy at Activision/ Call of Duty, will discuss how you can strengthen your security against Generative AI hackers.
Watch the latest episodes or listen to the podcast
Follow me on LinkedIn for daily posts about how you can lead AI in business with confidence. Activate notifications (🔔) and never miss an update.
Together, let’s turn hype into outcome. 👍🏻
Thanks for reading The AI MEMO! Subscribe to receive new posts.