Ethics, AI, and the Workforce
Ethics, AI, and the Workforce
Collaborating with organizations to develop ethical, practical, and data-driven AI solutions for real-world impact.
Responsible Innovation in Practice
Our commitment to responsible AI innovation extends beyond theoretical frameworks into practical, real-world implementation.
At the Lab for Applied Artificial Intelligence, we partner with organizations to ensure that ethical considerations are woven into every stage of AI development and deployment. Our approach integrates technical capabilities and sophisticated ethical understanding, with careful attention to societal outcomes. We work closely with business partners to develop and test AI solutions that not only drive efficiency but also enhance human potential and uphold the organization's values. Drawing on our research expertise, we support companies in achieving their technological goals while upholding the highest standards of ethical practice.
For more information about the Lab for Applied Artificial Intelligence’s Responsible Innovation in Practice, please contact Diana Acosta Navas, the Lab's Director of AI Ethics, at dacostanavas@luc.edu.
Workforce AI and Data Innovation
Organizations need accurate, trusted, and actionable data to respond effectively to rapid technological change.
Workforce and education systems and organizations need real-time, accurate, trusted information for local decision-makers to adapt to rapid changes in technology. At the lab for Applied AI, we partner with organizations seeking to build better data — information that empowers organizations and people to achieve their potential. We build a deep understanding of needs, assess existing infrastructure and potential data sources, and develop solutions in dialogue before engaging in development and testing sprints with clients, and engaging in iterative cycles of prototyping, testing, and refinement.
Examples of prior work include the open-source Job Ad Analysis Toolkit, a collection of language models and software capable of providing real-time, efficient, accurate extraction of skills and other data from job postings and other text at scale.
For more information about the Lab for Applied Artificial Intelligence’s Workforce AI, please contact Peter Norlander, the Lab's Director of Workforce AI, at pnorlander@luc.edu.
Responsible Innovation in Practice
Our commitment to responsible AI innovation extends beyond theoretical frameworks into practical, real-world implementation.
At the Lab for Applied Artificial Intelligence, we partner with organizations to ensure that ethical considerations are woven into every stage of AI development and deployment. Our approach integrates technical capabilities and sophisticated ethical understanding, with careful attention to societal outcomes. We work closely with business partners to develop and test AI solutions that not only drive efficiency but also enhance human potential and uphold the organization's values. Drawing on our research expertise, we support companies in achieving their technological goals while upholding the highest standards of ethical practice.
For more information about the Lab for Applied Artificial Intelligence’s Responsible Innovation in Practice, please contact Diana Acosta Navas, the Lab's Director of AI Ethics, at dacostanavas@luc.edu.
Workforce AI and Data Innovation
Organizations need accurate, trusted, and actionable data to respond effectively to rapid technological change.
Workforce and education systems and organizations need real-time, accurate, trusted information for local decision-makers to adapt to rapid changes in technology. At the lab for Applied AI, we partner with organizations seeking to build better data — information that empowers organizations and people to achieve their potential. We build a deep understanding of needs, assess existing infrastructure and potential data sources, and develop solutions in dialogue before engaging in development and testing sprints with clients, and engaging in iterative cycles of prototyping, testing, and refinement.
Examples of prior work include the open-source Job Ad Analysis Toolkit, a collection of language models and software capable of providing real-time, efficient, accurate extraction of skills and other data from job postings and other text at scale.
For more information about the Lab for Applied Artificial Intelligence’s Workforce AI, please contact Peter Norlander, the Lab's Director of Workforce AI, at pnorlander@luc.edu.