Machine bias and how to control it
Machine bias occurs when an AI system reflects the prejudices or biases present in its training data. These data often originate from human sources and, consequently, may carry inherent biases related to race, gender, culture, and more. In the context of AI-generated art, this bias can manifest in various ways, such as over-representing certain aesthetics, styles, or subjects while under-representing others.
We believe in the power of community involvement and diverse perspectives in AI development. Including voices from various backgrounds and disciplines can provide a broader, more inclusive view that helps identify and rectify biases that a more homogeneous group might overlook.
As we navigate the world of AI and its applications in creative fields, our awareness and actions toward controlling machine bias are pivotal. It’s a responsibility that we carry to ensure that the advancements in AI are not only innovative and powerful but...
