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What is Dost?

Creating marketing messages for customer care that foster an inclusive workplace is crucial. Dost effectively identifies harmful language, microaggressions, and unconscious bias across various communication mediums, such as text, images, and videos, prompting users to refine their messaging strategies. To assist you in navigating this transformation, we have assembled an array of resources aimed at improving communication and facilitating the integration of Dost. This presentation provides a detailed roadmap for implementing Dost, outlining the essential steps needed for a successful rollout within your organization. It acts as a practical resource for change leaders, giving them straightforward guidance on how to seamlessly introduce Dost into their workplace. Within this document, you will discover all the vital information necessary to advocate for the adoption of Dost among both stakeholders and employees. Powered by sophisticated AI technology, Dost focuses on pinpointing noninclusive language, grounded in established research criteria specific to workplace interactions. By leveraging insights from comprehensive primary and secondary research, we ensure that our AI models are adept at nurturing a more inclusive atmosphere. The adoption of tools like Dost not only improves workplace interactions but also cultivates a deeper sense of respect and understanding among employees, ultimately benefiting the overall organizational culture. By prioritizing inclusivity through effective communication, companies can unlock the full potential of their diverse workforce.

What is Azure AI Content Safety?

Azure AI Content Safety functions as a robust platform dedicated to content moderation, leveraging artificial intelligence to safeguard your content effectively. By utilizing sophisticated AI models, it significantly improves online experiences for users by quickly detecting offensive or unsuitable material present in both textual and visual formats. The language models can analyze text across various languages, whether it’s brief or lengthy, while skillfully understanding context and nuance. In addition, the vision models employ state-of-the-art Florence technology for image recognition, enabling the identification of a wide range of objects within images. AI content classifiers are meticulously designed to recognize content associated with sexual themes, violence, hate speech, and self-harm, achieving an impressive level of precision in their evaluations. Moreover, the platform offers severity scores that pertain to content moderation, which indicate the potential risk level of the content on a scale from low to high, thus aiding in making well-informed decisions regarding user safety. This comprehensive strategy not only enhances the security of online interactions but also fosters a more welcoming and secure digital space for all users. Ultimately, the continual advancements in AI technology promise to further enrich the effectiveness of content moderation practices.