The rise of large language models has significantly changed how we communicate, conduct research, and enhance our productivity, ultimately transforming society as we know it. LLMs are exceptionally skilled in natural language understanding and generating language that seems more accurate and human-like than their predecessor. However, they also pose new risks to data privacy and the security of personal information.
Saima Fancy explained that the driving force behind these issues is the intense desire for data collection by organizations, often resulting in reckless behavior. Technologies like OpenAI, she indicated, are launched prematurely to maximize data collection."These technologies are often released too early by design," she noted,"to accumulate as much data as possible.
She emphasized the risk extends beyond individual users to corporations as well, particularly if employees are not properly trained in using these technologies, including prompt engineering."The vulnerability is extremely high, and for corporations, the risk is even greater because they risk losing public trust and they are not immune to data breaches.
She emphasized the naive thinking many startups have, believing they’re immune to attacks adding,"But what LLMs have done is dramatically broaden the attack landscape, making it easier for malicious actors to observe and eventually exploit vulnerabilities in a company's systems. It’s crucial for businesses, especially startups, to prioritize funding for security measures from the outset to protect against these threats.
Fancy expressed the regrettable development of this renewal for companies that collect data and create models. “With laws like this being renewed for another two years, the implications are huge. Federal governments can compel companies to hand over data on a span of the population, which is essentially surveillance at another level. This is scary for regular folks and is justified under the guise of world state protection.
She highlighted that we are in a favorable time of technological evolution, with many tools available to enhance data security. While these tools' costs are decreasing, it's still necessary for companies to allocate funds for privacy and security measures right from the start."As your funding is coming in, you've got to set some money aside to be mindful of doing that," Fancy stated.
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