jobworX.ai Commitment to Responsible AI
Artificial intelligence (AI) has been core to jobworX.ai since our founding in 2023. We are committed to the responsible and ethical use of AI to assist talent decision makers in making faster, better, and more fair decisions with data.
jobworX.ai does not intend to replace the human decision maker with AI, but use AI to assist the people responsible for decision making. By automating as much of the IQ part of the talent process as possible, talent team members will have more time to focus on the EQ.
Talent teams that use AI to drive efficiency and productivity will become more strategic in their approach to building a diverse and high performing workforce. They will have more resources and opportunities for innovation and transformation.
How jobworX.ai uses AI
jobworX.ai is using AI to deeply transform workflows across the talent lifecycle. By enabling robust automation of manual, repetitive practices, jobworX.ai frees up time and resources for people to engage in more meaningful and innovative activities.
The introduction of large language models (LLMs) and generative AI makes it possible to access vast amounts of data and eliminates adoption barriers, providing both data and context to enable data driven decision making.
jobworX.ai is using a BI first strategy, building an AI assist infrastructure layered over a robust BI data platform. This strategy prioritizes the collection, analysis, and presentation of data to provide insight and support for decision making, then uses AI to learn, reason, and make predictions or recommendations with trusted outcomes in the following ways:
- jobworX.ai generates new and unique data called “skills and personality traits” using machine learning to combine people and company data with time.
- jobworX.ai uses a machine learning model to correctly associate social profiles across social media platforms and combine them along with other, relevant people and company data into enriched profiles.
- jobworX.ai can use AI for diversity classifications for gender and ethnicity. We build balanced talent pools using a probabilistic model rather than a deterministic one. We can also provide researchers to curate and validate classifications continuously.
- jobworX.ai uses LLMs to help identify the hiring intent of a platform user.
- jobworX.ai uses generative AI through embedded prompts within the platform’s workflows. These prompts leverage jobworX.ai’s data and create a vector to share it with Generative AI Technology, preventing the data from becoming public.
Essential to the AI assist infrastructure is human oversight and control, with ongoing monitoring and assessment processes that are explainable and auditable.
- jobworX.ai has built-in guardrails to protect against incorrect information and hallucinations where the LLM fills in missing gaps with inaccurate data.
- jobworX.ai AI
- uses verifiable facts that we call “skills and personality traits” as the basis for reasoning and insights with human validation and verification.
- jobworX.ai has been intentionally designed to not make decisions on behalf of any persona, but to assist in making the right decision.
- jobworX.ai has built-in response moderation with both a human in the loop as well as checks and balances in the infrastructure.
jobworX.ai complies with pertinent legal and regulatory frameworks concerning security and data privacy. jobworX.ai creates a robust middleware that serves as a bridge between public LLMs and jobworX.ai services. The middleware leverages LLMs for its true strength – capturing and interpreting the intent. The context, not the data, is transmitted to the public LLM. jobworX.ai employs a process of vectorizing and anonymizing all inputs, thereby safeguarding privacy by avoiding the sharing of personally identifiable information (PII) with public LLMs. This approach supports the protection of user data and maintains a high level of privacy.
- jobworX.ai does not automatically advance or reject applicants.
- jobworX.ai uses AI for skills and experience based search and matching. These capabilities are Business Intelligence (query) based.
