

Ethical AI in the Creative Space (Transparency & Copyright)
My work blends a multitude of mediums, experiments and traditional, digital techniques. I am a firm believer that it doesn't matter the tool, if it helps bring a unique vision or idea to life.
These resources address the core debate around AI-generated content, copyright, artistic integrity, and the call for transparency in training data.
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UNESCO's Recommendation on the Ethics of Artificial Intelligence:
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What it is: The first-ever global standard on AI ethics, adopted by 193 member states. It covers core values including the protection of human rights, fairness, and sustainability.
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Why it's useful: Provides a foundational, globally recognized framework for ethical principles like Transparency and Do No Harm.
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Link: UNESCO's Ethics of Artificial Intelligence (Search result 1.2)
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The Ethical Implications of AI in Creative Industries:
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What it is: A research paper discussing the full range of ethical dilemmas in AI art, from unauthorized data scraping and copyright infringement to job displacement.
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Why it's useful: Provides a scholarly look at the arguments for and against generative AI, emphasizing the need for legislation.
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Link: The Ethical Implications of AI in Creative Industries - arXiv (Search result 1.1)
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Environmental Impact and Green Computing
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These links provide data and research on AI's energy consumption, water use, and the proactive solutions being developed in the field of sustainable AI.
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Explained: Generative AI's Environmental Impact (MIT News):
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What it is: A detailed article breaking down the computational power, electricity, and water required to train and deploy large generative AI models (LLMs).
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Why it's useful: Offers concrete figures and helps readers understand the scope of the Environmental Footprint.
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Link: Explained: Generative AI's environmental impact | MIT News (Search result 2.2)
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AI has an environmental problem. Here's what the world can do (UNEP):
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What it is: A report from the United Nations Environment Programme (UNEP) outlining the risks from data centers (e-waste, water use) and recommending five actions the world can take to curb the environmental fallout.
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Why it's useful: Reinforces the need for Research Advocacy and global action.
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Link: AI has an environmental problem. Here's what the world can do about that. - UNEP (Search result 2.4)
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Sustainable AI: Minimizing Environmental Impact through Green Computing:
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What it is: An industry-focused article discussing practical strategies for making AI more sustainable, including algorithmic optimization, energy-efficient hardware, and leveraging renewable energy.
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Why it's useful: Details the Green Computing Solutions that you advocate for in your statement.
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Link: Sustainable AI: Minimizing Environmental Impact through Green Computing (Search result 4.5)
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