Regarding the ongoing advancement of machine learning technology, we are living in an uncertain period. In a remarkably short period of time, artificial intelligence and its applications have advanced significantly. Currently, tech corporations are left to govern themselves in the interest of commercial privacy, and there are insufficient safeguards for individual privacy in the developing AI industry.
The U.S. federal government and state governments, such as those in Idaho, should prioritize safeguarding citizen privacy and reducing their previously supported accelerationist attitude to AI in order to turn the tide.
Artificial intelligence regulations in the United States have been slack. Consistent with the majority of technological regulation initiatives, artificial intelligence has been mostly unaffected, indicating a preference for innovation over user privacy. As a result, privacy issues have been raised by recent advancements in the AI field.
LinkedIn, for instance, has been under criticism lately for using user data to train AI algorithms without getting consent. Although there is an opt-out button in the LinkedIn settings, it is not immediately clear what steps need to be taken to accomplish this. Asking users to opt in to train its models is not in LinkedIn’s best interests, and since there are no rules dictating how they should do it, they only have to worry about their own accountability.
Big tech companies are the only ones who can decide what is acceptable and wrong in the developing AI market since there is no regulation. Individual privacy is given up in order to support AI’s rapid and ongoing development.
Tech companies, on the other hand, are utilizing corporate privacy as a defense against possible regulation. Members of the newly formed National AI Advisory Committee will undoubtedly further this. Some of those individuals have continued to work primarily as executives for large AI-related tech companies. These members include, among others, Swami Sivasubramanian, vice president for Data and Machine Learning Services at Amazon Web Services; James Manyika, senior vice president at Google; and Miriam Vogel, president and CEO of Equal AI.
This is not to argue that intellectual property and patents are not crucial for promoting innovation, but we must be prepared to forgo some corporate protection in order to preserve the privacy and security of individuals. In order to anticipate any significant safety or privacy concerns that may arise from emerging technology, governments should guarantee a certain level of transparency in AI training and development.
It would be prudent for the federal government and several state governments, including Idaho’s, to observe the European regulatory approach.
One European Union law that safeguards individual Europeans’ privacy is the General Data Protection Regulation. All data-related actions that occur within EU nations are covered by this rule.
It is especially crucial to draw attention to three components of this legislation. First, the LinkedIn issue is resolved as companies must obtain individuals’ express consent before processing their data. Second, companies must continue to be open and honest about how they use the data they gather. Last but not least, companies handling personal data need to maintain compliance through ongoing monitoring.
The EU uses this all-encompassing strategy to shield its citizens from predatory data collection methods. As our reliance on AI increases in the future, regulations such as these will become more and more crucial.
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