“We really need to reject the notion that AI is too advanced for people to have an opinion about unless they are data scientists,” Larsen said.
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Larsen says that to demystify AI, users should have transparency into what the code is doing, what data it is collecting, what decisions it is making and who is benefiting from it. In the AI industry, when an AI uses a machine learning model that humans can not understand, it is known as a Black Box AI and tagged for lacking transparency. The organization warns that many of the most popular datasets are made up of content scraped from the internet, which “overwhelmingly reflects words and images that skew English, American, white and for the male gaze.” Black Bock AI: Demystifying Artificial IntelligenceĪI seems to be getting away with much of the harm it does thanks to its reputation of being too technical and advanced for people to understand. The data used to train machine learning algorithms is often sourced from public sites like Flickr. Mozilla’s report also focuses on AI’s data problem, where large and frequently reused datasets are put to work, despite not guaranteeing the results that smaller datasets, specifically designed for a project, do. She called for regulations to ensure AI systems are built to help, not harm. “We need AI builders from diverse backgrounds who understand the complex interplay of data, AI and how it can affect different communities,” Larsen told TechRepublic. Mozilla recognizes the potential of AI but warns it is already causing harm on a daily basis around the globe. More importantly, AI applications have shifted from rule-based AI to data-based AI, and the data these models use is personal data. Thirty-two countries have already adopted AI strategies, more than 200 projects with over $70 billion in public funding have been announced in Europe, Asia and Australia, and startups are raising billions in thousands of deals around the world. The adoption of AI at all levels is now inevitable. The year 2022 opened with over $50 billion in new opportunities for AI companies, and the sector is expected to soar to $300 billion by 2025. Market Watch’s report on AI disruption reveals just how big AI is. More must-read AI coverageĨ most innovative AI and machine learning companiesįorrester: AI may be used to enhance enterprise creativityĤ automation-focused IT careers on the rise (TechRepublic Premim) Given the dimensions that AI technology is taking, as AI is embraced around the world, the issue has become a top concern. “As logical as that sounds, it really doesn’t happen enough,” Larsen said.Īccording to Mozilla’s findings, the centralization of influence and control over AI doesn’t work to the advantage of the majority of people. Larsen explains that AI systems should be built from the start considering ethics and responsibility, not tacked on at a later date when the harms begin to emerge.
SEE: Artificial Intelligence Ethics Policy (TechRepublic Premium) TechRepublic spoke to Solana Larsen, Mozilla’s Internet Health report editor, to shed light on the concept of “Responsible AI from the Start,” black box AI, the future of regulations and how some AI projects lead by example.
Mozilla’s report scrutinized the nature of the AI-driven world citing real examples from different countries. Once again, this new report puts AI under the spotlight for how companies and governments use the technology. The top challenge for the health of the internet is the power disparity between who benefits from AI and who is harmed by AI, Mozilla’s new 2022 Internet Health reveals. Mozilla believes AI regulations could be a solution that builds trust and levels the playing field. Top challenge to internet health is AI power disparity and harm, Mozilla says
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