Feb 16
/
Naz
I like AI working for Trash
Redefining Potential: AI's Role in Transforming Waste Management
AI systems for Waste Management is a social equalizer for me. My criteria for evaluating AI's impact are straightforward:
- Is it ethical?
- Is it universally beneficial?
- Does it serve as a social equalizer, especially for underprivileged groups?
Integrating AI into waste management isn't overcomplicating the process; it's an essential evolution towards a society where technology uplifts human dignity, ensuring a more equitable, efficient, and sustainable world for everyone.
Why do I believe this?
The realm of artificial intelligence (AI) fascinates me deeply, particularly its ability to amplify human potential by taking over tasks that are inherently more suited for machines. A perfect illustration of this potential is in the domain of waste management, an area ripe for AI integration and innovation.
Imagine a world where waste collection is seamlessly managed by autonomous garbage trucks. These trucks, equipped with advanced sensors and cameras, would be capable of detecting when bins are full and autonomously navigating to collect the waste. This vision extends beyond just operational efficiency; it represents a fundamental shift in how we approach waste management.
But the innovation doesn't stop there. Imagine robots that assist in the optimal placement of our bins for automated collection. Additionally, if I consent, the system could send me messages about my environmental contributions based on the waste data. It could also offer tips on reducing waste production. :)
This transition from manual to automated waste collection isn't just about improving operational efficiency; it's about a fundamental revolution. Here are several reasons why this transformation is not just viable but ethically essential:
- Equality and Dignity: By automating waste collection, we remove the stigma attached to these essential but undervalued jobs. In a world where dignity and equality are paramount, no individual should be relegated to finding satisfaction in disposing of others' refuse—a task far better suited to machines, both in terms of efficiency and hygiene.
- Addressing Labor Shortages: Many developed regions face significant challenges in filling waste collection roles. Automation offers a sustainable and innovative solution to this issue, ensuring that waste management can continue without interruption.
- Enhancing Efficiency and Sustainability: The integration of AI into waste management goes beyond cost savings. It represents a leap towards optimizing resources and operational efficiency, underpinning a sustainable future where we make smarter use of our resources.
Integrating AI into waste management is not complicating the simple but rather an essential evolution towards a society where technology enhances human dignity and environmental stewardship. It's a step towards realizing a future where technological advancement and sustainability walk hand in hand, leading us towards a more equitable and efficient world.
P.S. There was a period when I had to buy the numerous garbage trucks for my little daughter :). I remember how often I had to go to Müller Shop to buy them for her:) She loved to play with them. She then explained to me how garbage trucks work. And I explained her why some men in orange costumes come every week to collect our trash.
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Ali Hessami is currently the Director of R&D and Innovation at Vega Systems, London, UK. He has an extensive track record in systems assurance and safety, security, sustainability, knowledge assessment/management methodologies. He has a background in the design and development of advanced control systems for business and safety-critical industrial applications.
Hessami represents the UK on the European Committee for Electrotechnical Standardization (CENELEC) & International Electrotechnical Commission (IEC) – safety systems, hardware & software standards committees. He was appointed by CENELEC as convener of several Working Groups for review of EN50128 Safety-Critical Software Standard and update and restructuring of the software, hardware, and system safety standards in CENELEC.
Ali is also a member of Cyber Security Standardisation SGA16, SG24, and WG26 Groups and started and chairs the IEEE Special Interest Group in Humanitarian Technologies and the Systems Council Chapters in the UK and Ireland Section. In 2017 Ali joined the IEEE Standards Association (SA), initially as a committee member for the new landmark IEEE 7000 standard focused on “Addressing Ethical Concerns in System Design.” He was subsequently appointed as the Technical Editor and later the Chair of P7000 working group. In November 2018, he was appointed as the VC and Process Architect of the IEEE’s global Ethics Certification Programme for Autonomous & Intelligent Systems (ECPAIS).
Trish advises and trains organisations internationally on Responsible AI (AI/data ethics, policy, governance), and Corporate Digital Responsibility.
Patricia has 20 years’ experience as a lawyer in data, technology and regulatory/government affairs and is a registered Solicitor in England and Wales, and the Republic of Ireland. She has authored and edited several works on law and regulation, policy, ethics, and AI.
She is an expert advisor on the Ethics Committee to the UK’s Digital Catapult Machine Intelligence Garage working with AI startups, is a Maestro (a title only given to 3 people in the world) and expert advisor “Maestro” on the IEEE’s CertifAIEd (previously known as ECPAIS) ethical certification panel, sits on IEEE’s P7003 (algorithmic bias)/P2247.4 (adaptive instructional systems)/P7010.1 (AI and ESG/UN SDGS) standards programmes, is a ForHumanity Fellow working on Independent Audit of AI Systems, is Chair of the Society for Computers and Law, and is a non-exec director on the Board of iTechlaw and on the Board of Women Leading in AI. Until 2021, Patricia was on the RSA’s online harms advisory panel, whose work contributed to the UK’s Online Safety Bill.
Trish is also a linguist and speaks fluently English, French, and German.
In 2021, Patricia was listed on the 100 Brilliant Women in AI Ethics™ and named on Computer Weekly’s longlist as one of the Most Influential Women in UK Technology in 2021.
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