Intersectional Risks and a
Technological Spring
Embracing AI use means tackling a complicated environment of interested parties seeking protections that serve them. The challenge is that these protections make real the intersection of challenge, choice, and AI systems. So, a holistic view of risk is needed to understand our choices fully.
VARYING RISKS
Harms of Training AI on the Trainers of the Global South
OpenAI used Kenyan workers to label and identify harmful content. The work was so traumatic that the contract was canceled 8 months early. The pay - $2 per hour. Future contracts are also refused.
Data Scraping and Ownership of Information
Many lawsuits mentioned above involve the scraping of data from public information online. This is despite copyright protections listed on the information. While this might sound like a "them" problem. You are one of them and your information was included also.
Drain of Environmental Resources:
Water usage is a significant impact of artificial intelligence because it is used to cool data centers. However, that's not the only environmental impact. Others concerns are emissions, waste disposal, energy consumption, and land use.
AI is Accelerating the Loss of Our Scarcest Natural Resource: Water >
AI and IDEA
From being inaccessible based on assistive needs and language/voice barriers, to the persistent lack of gender diversity in the tech industry, to the unfair consequences faced by marginalized communities, societal challenges like these are all too familiar in the realm of AI.
Bias and Privacy Across the AI Lifecycle
From training the AI system, to its deployment and use case, to the impact on the customer or society it is released into. AI has a bias and privacy problem that risk mitigation alone cannot fix.
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