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.
What's Driving This Trend
- 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.
- Positive-bias Algorithms
- Incorporating probability-backed inclusivity into AI tools indicates a shift towards algorithms that actively combat inherent biases in traditional models.
- 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.
Who This Affects Most
- Artificial Intelligence
- The development of inclusivity-enhancing tools showcases a significant progression within the AI industry towards creating fair and balanced systems.
- 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.
- Image Generation
- The focus on tools that enhance image-generation models for diversity signals an important innovation phase for the image generation industry.
