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Brandtech Group's Bias Breaker Produces More Diverse and Inclusive Images

AI is limited by the quality of its training data, which can lead to biases, lack of diversity and poor representation, leading Brandtech Group to develop a proprietary tool called Bias Breaker to enhance GenAI prompts with "probability-backed inclusivity."

With this tool integrated with Brandtech’s gen-AI marketing platform Pencil, simple prompts from users are made more sophisticated with details like age, race and gender to deliver better results from image-generation models. According to Brandtech, Bias Breaker provides "positive bias" to a range of diversity and intersectionality lacking in current models. For instance, Brandtech found that when prompted for a "CEO," two models showed 100% male-led images in 100 generations, while another showed 98% male.
Trend Themes
1. Inclusive-driven AI Models - The rise of tools like Bias Breaker highlights the growing need for AI models to include diverse and representative data sets.
2. Positive-bias Algorithms - Incorporating probability-backed inclusivity into AI tools indicates a shift towards algorithms that actively combat inherent biases in traditional models.
3. Intersectional Representation Solutions - Emerging tools that focus on enhancing prompts with details like age, race, and gender reflect the increasing demand for intersectional representation in AI-generated content.
Industry Implications
1. Artificial Intelligence - The development of inclusivity-enhancing tools showcases a significant progression within the AI industry towards creating fair and balanced systems.
2. Marketing Technology - Bias Breaker's integration with marketing platforms like Pencil illustrates a growing trend of utilizing advanced AI tools for more inclusive and effective brand representation.
3. Image Generation - The focus on tools that enhance image-generation models for diversity signals an important innovation phase for the image generation industry.

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