Future of Work
Immigration
Belonging
Social Isolation
Gender
Climate Policy
Social Media
Food
Supply Chains
Circular Economy
Community
Nature
Waste
Identity
Housing
Art
Climate
Fashion
Media
Wellbeing
Health
Sport
Culture
Technology
Care System
Government
Politics
Law
Urban Design
Inequality
AI
Education
Andrew Bruce
MASc

Steering Humanity Towards a Positive AI Revolution

Climate
AI
Technology

Summary

Methods
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Disciplinary perspectives
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The uptake and integration of AI represents a change with the potential to be as dramatic as the Industrial Revolution. I’m concerned with mitigating the negative externalities of this change - both sociologically and ecologically. I am proposing and demonstrating a techno-utopian project: EcoValor that is intended to steer humanity towards the best possible outcome of this coming revolution.

Approach and Methodology

At first, I was interested in two problems: one is that we make more ‘stuff’ than is good for the planet or our souls. The other problem was what I perceived as anxiety around AI taking away jobs.

My question relates to a rapidly developing discourse around AI, employment, and sustainability. Peer reviewed papers tend to be out of date by the time they are published, nevertheless, this was my starting point. I soon moved on to think tank papers, like the International Labour Organisation’s report on generative AI and jobs, for more current and broad perspectives. I consulted private industry reports, like Mckinsey’s 2023 ESG Report. I attended meet-ups of people working in the field and participated in a climate tech ‘AI hackathon’ (where I worked on a proposal similar to the one I present here and received ‘honourable mention’ for proposal with greatest potential climate impact). I workshopped some of my early research at the Technology, Knowledge, and Society conference in Valencia, where I also had the chance to speak with academics from many fields who are addressing problems and potentials of AI.

Proposal/Outcome

My proposal is based on a hybrid model of Proof of Stake blockchain validation - inspired by the Ethereum crypto currency - and voluntary carbon credit systems. The intention is to divert the increased productivity AI is expected to provide away from production of unsustainable commodities (we already make too much shit for the planet to sustain), and away from lay-offs and other undesirable labour outcomes. To do this I propose an ‘EcoValor Token’ which allows individuals and firms to use their AI-provided extra productivity for projects that have a positive impact on environmental and social concerns.

Beyond Outcomes

Want to learn more about this project?

Here is some student work from their formal assignments. Please note it may contain errors or unfinished elements. It is shared to offer insights into our programme and build a knowledge exchange community.

Summary

Methods
No items found.
No items found.
Disciplinary perspectives
No items found.

The uptake and integration of AI represents a change with the potential to be as dramatic as the Industrial Revolution. I’m concerned with mitigating the negative externalities of this change - both sociologically and ecologically. I am proposing and demonstrating a techno-utopian project: EcoValor that is intended to steer humanity towards the best possible outcome of this coming revolution.

Approach and Methodology

At first, I was interested in two problems: one is that we make more ‘stuff’ than is good for the planet or our souls. The other problem was what I perceived as anxiety around AI taking away jobs.

My question relates to a rapidly developing discourse around AI, employment, and sustainability. Peer reviewed papers tend to be out of date by the time they are published, nevertheless, this was my starting point. I soon moved on to think tank papers, like the International Labour Organisation’s report on generative AI and jobs, for more current and broad perspectives. I consulted private industry reports, like Mckinsey’s 2023 ESG Report. I attended meet-ups of people working in the field and participated in a climate tech ‘AI hackathon’ (where I worked on a proposal similar to the one I present here and received ‘honourable mention’ for proposal with greatest potential climate impact). I workshopped some of my early research at the Technology, Knowledge, and Society conference in Valencia, where I also had the chance to speak with academics from many fields who are addressing problems and potentials of AI.

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Beyond Outcomes

Proposal/Outcome

My proposal is based on a hybrid model of Proof of Stake blockchain validation - inspired by the Ethereum crypto currency - and voluntary carbon credit systems. The intention is to divert the increased productivity AI is expected to provide away from production of unsustainable commodities (we already make too much shit for the planet to sustain), and away from lay-offs and other undesirable labour outcomes. To do this I propose an ‘EcoValor Token’ which allows individuals and firms to use their AI-provided extra productivity for projects that have a positive impact on environmental and social concerns.

Want to learn more about this project?

Here is some student work from their formal assignments. Please note it may contain errors or unfinished elements. It is shared to offer insights into our programme and build a knowledge exchange community.

Author's Final Reflection

Overall LIS Journey

Academic References

Further Information

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View the full project

About me

As a passionate advocate for sustainable practices and environmental, social, and governance (ESG) principles, I am dedicated to driving positive change at the intersection of technology and sustainability. My experience spans project management, strategic planning, and business ownership in the food and hospitality sectors, complemented by my current MASc studies focused on the application of AI in ESG. Additionally, my background includes significant roles in government and higher education, where I have developed a unique blend of skills and experience to support organizations committed to a sustainable future.

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