When a user completes the fields on the Template Page or interacts with the Chat Page, the Social Work Magic Tool uses AI technology trained in the background with social work expertise to generate a response that is specific to the information that has been submitted. The response provided can then be checked for biases, cultural appropriateness and language, etc., and then modified as needed by the Social Worker.

Artificial Intelligence is improving every day, and some of the things that it can do are really quite amazing. That being said, the core of our profession is human interaction, which is something that cannot be handled by AI at this time. From being able to accurately read emotions, to understanding very subtle cultural nuances, to being able to adapt and respond to emotional changes in real time during a conversation, we Social Workers do much, much more than what is capable by "the robots". In our humble opinion, AI is here to stay. Farmers resisted going from the horse to the tractor. Early radio hosts pushed back against the television. Many people said the internet was "just a fad" and wanted nothing to do with it. Whether it's the tractor or the internet, technology is undefeated. Where will Social Workers find themselves as AI becomes a part of our lives? We can decide to dig in our heels and say that Social Workers should never utilize this kind of technology in our work, or we can use applications like The Social Work Magic Tool to make our lives easier while at the same time improving the services we provide to clients.

If you directly copy and paste reponses from the Social Work Magic Tool into your emails, reports, etc., then there is a chance that there will be biases, cultural misunderstandings, etc. introduced into your work product. That's why we make it clear that the Social Work Magic Tool is just that...A TOOL...that you can use as a template...a thought partner...or an idea starter, but that should always be checked and modified to ensure appropriateness and verify that it meets your specific needs.

Obviously in our field, confidentiality and privacy are foundational concepts in everything that we do. That's why we make it very clear that you should NEVER use specific identifying information in any of your questions or "prompts". That being said, there is code built into the back end of the tool aimed at preventing this kind of information from being accepted or used in a reponse. However, as these AI models are ever evolving, we cannot guarantee that, in rare instances, the tool may still utilize that information.

The Social Work Magic AI Tool is built using the OpenAI API platform. OpenAI's data usage policies ensure that users retain ownership of the data they input into OpenAI's systems. Here's a summary of the relevant policies regarding data ownership and usage: Ownership and Control: Users own and control the data they submit to OpenAI. This extends to both the input and output of the models. If users utilize OpenAI's services for processing personal data, they might need to adhere to OpenAI's GDPR/CCPA Data Processing Agreement​. Usage of Data: By default, OpenAI does not use data submitted via their API to train their models or improve their services. OpenAI continuously improves its models through research breakthroughs and exposure to real-world problems and data, though this is not explicitly linked to user data​. Data Retention: OpenAI has implemented a 30-day data retention policy for API users, where data is kept for monitoring purposes to prevent abuse and misuse. Policy Updates: In response to concerns, OpenAI has updated its developer policy to clarify its use of customer data and added data retention options. It will no longer use any data submitted through its API for service improvements, including AI model training, unless a user or organization opts in​

OpenAI is a language model that uses a technique called "deep learning" to generate responses to text-based inputs. At the time of this writing, it gets its data from a vast set of text information on the internet, such as college level social work textbooks, peer reviewed articles on social work, and social work related websites (soon it will also get information from images, video, audio, etc.) It learns to identify patterns and relationships in the language data, which allows it to generate coherent and contextually relevant responses. It then generates a response by selecting words and phrases that are most likely to fit with the context of the input based on its training data.

Absolutely! A video library is being created. Check back here to see the videos as they are added.