Fortunately, regulatory guidelines are catching up to the AI sector. We will soon see more legislation, such as those now underway in the EU, regarding the use of generative AI tools (and possibly AI tools in general), with the purpose of protecting users of these tools. Companies that do not comply or whose cybersecurity infrastructure is insufficient will likely face significant consequences.
Myth
In August, The Wall Street Journal published an article indonesia whatsapp number data entitled “AI Botched Their Headshots.” The story recounted the effect that women of color experienced when generative AI applied its concept of “professional.” Upon requesting that generative AI edit their own photos to produce a professional headshot, the women who were interviewed found that the results went awry. The generative AI tool showcased the concept of technology-driven bias in LLMs when the technology changed skin tone and facial features in its interpretation of what should be considered a more professional image.
What ultimately went wrong in this example? Generative AI was asked to make an interpretation based on what it learned from human content in the digital space. We know that, unfortunately, biases exist against professional women in all kinds of spaces so it’s no surprise the AI model, which had been trained on what it learned from content created by humans, interpreted that bias as well.