AI & Sustainabilty Flashcards
What does Responsible AI mean?
AI systems should respect human rights, avoid discrimination, benefit as many people as possible, and contribute to sustainability goals
Responsible AI emphasizes the ethical and equitable development and deployment of AI technologies.
Who is responsible for the ethical use of AI?
Responsibilities vary among:
* Developers/engineers
* Data collectors/providers
* Regulators
* Companies/providers
* Users/society
* Researchers and ethics experts
* AI systems themselves
Each party has a unique role in ensuring AI is developed and used responsibly.
What is Responsible Business Conduct (RBC) according to the OECD?
RBC means businesses should contribute positively to economic, environmental, and social progress while avoiding adverse impacts
This involves risk-based due diligence to identify and mitigate impacts linked to business activities.
Define Corporate Social Responsibility (CSR) as per the European Commission.
CSR is the integration of social, environmental, ethical, and human rights concerns into core business strategies
CSR emphasizes collaboration with stakeholders for sustainable business practices.
What are the three pillars of sustainability?
The three pillars are:
* Environmental Sustainability (Planet)
* Social Sustainability (People)
* Economic Sustainability (Profit)
Each pillar addresses different aspects of sustainability, focusing on ecological health, social equity, and economic viability.
What does the term ‘Triple Transition’ refer to?
Simultaneous progress in digital, green, and social transitions
This concept is integral to the EU’s policy frameworks for sustainable development.
How many UN Sustainable Development Goals (SDGs) are there?
17 Goals
The SDGs serve as a blueprint for achieving peace and prosperity for people and the planet by 2030.
True or False: AI can contribute to achieving the UN SDGs.
True
AI can optimize resource use, advance healthcare, and support sustainable agriculture.
What are the ecological impacts of AI systems?
AI requires significant energy and resources, contributing to climate change
The training of AI models is resource-intensive, similar to the demands of Bitcoin mining.
What is the carbon footprint of training a large AI model?
Training can emit around 300,000 kg of CO₂, equivalent to 125 round-trip flights between Beijing and New York
The environmental impact of AI training is significant due to high energy requirements.
Fill in the blank: AI’s lifecycle involves _______.
[mining materials, manufacturing, distributing, powering servers, human labor, internet infrastructure]
Each stage of AI’s lifecycle has environmental implications.
What is Earth Overshoot Day?
The day when humanity exceeds Earth’s sustainable capacity for the year
In 2023, Earth Overshoot Day was on August 2nd.
How does the location of cloud computing affect carbon emissions?
Different locations have varying carbon intensities; for example, cloud computing in Mumbai emits 920g of CO2 per kilowatt-hour, while in Montreal, it’s only 20g
This illustrates the importance of location in determining the carbon footprint of AI operations.
What is one way to reduce the carbon footprint of AI training?
Using pre-trained models to minimize computational resources
Fine-tuning pre-trained models reduces the need for extensive retraining and lowers carbon emissions.
Which is more energy-efficient: random search or grid search for hyperparameter tuning?
Random search
Random search can be just as effective while testing fewer combinations, thus reducing computational costs.
