Lityx Believes in and Empowers Responsible AI (RAI) Standards
Leverage RAI Accelerator Tools that Bring Together Business and Social Value
Recognizing the exponentially exploding power of Artificial Intelligence and Machine Learning, Lityx embraces calls from industry and academic thought leaders to build and leverage tools to deliver AI responsibly. These tools enable Lityx clients to optimize business and social outcomes by removing data biases, mitigating risks of unintended outcomes, and expand reaching by connecting with new audiences.
The LityxIQ platform promotes the ability to predict and assess business and social impacts across various algorithms and bring together teams to determine the ideal solution to meet multiple priorities.
Insights:: Data management and dashboards to evaluate data and algorithm bias
Machine Learning: Algorithms to implement appropriate data blindness and socially-constrained models
Model Management and Governance: Tools to manage algorithm builds responsibly and understand true impact of algorithm in market
How Lityx Supports Responsible AI
Lityx understands that Responsible AI requires more than just analytic technology, it also requires comprehensive design processes that invite diverse audiences into AI development and MLOps. With the LityxIQ platform as the enabling platform, Lityx partners with leading industry providers in Responsible AI Design to bring necessary tools to engage a broad set of organizational stakeholders into AI – from product and marketing leaders to leaders of diversity initiatives. Additionally, through industry outreach, Lityx prioritizes raising awareness and education of Responsible AI needs across healthcare, financial services and many other industries. We partner with clients to ensure they are aware of and can leverage Responsible AI best practices. Here are some examples of how Lityx facilitates Responsible AI:
Lityx IQ: Understanding Potential Outcomes
Data Bias Evaluation
Our Partner in RAI
Eagna Analytics addresses the need for Responsible Artificial Intelligence (RAI) by bringing social value and business value together and making Responsible AI accessible. Eagna delivers equitable, transparent, interpretable, and privacy-compliant AI implementations to their clients through their Responsible AI Governance System.
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