Is Your Business Ready for the Ultimate Test?
Posted by Marbenz Antonio on December 7, 2023
“Organizations are tasked with ensuring that AI projects they develop, deploy, or utilize do not result in negative ethical consequences,” according to Gartner. However, despite 79% of executives acknowledging the importance of AI ethics in their overall AI strategy, fewer than 25% have implemented operationalized ethics governance principles. In a recent case study featuring IBM, Gartner discusses establishing a governance framework to streamline identifying and managing ethical concerns related to technology in AI projects.
The case study emphasizes, “With the increasing prevalence of AI in business operations, organizations need to guarantee the ethical use of this technology.” As the scope of AI applications broadens, generalized and abstract principles are proving inadequate, lacking clear processes for legal and ethical evaluations.
IBM’s governance framework is structured around four key roles within the company:
In addition, the CPO AI Ethics Project Office plays a crucial role in supporting these initiatives. It acts as a liaison between governance roles, assists in implementing technology ethics priorities, aids in establishing AI Ethics Board agendas, and ensures that the board remains informed about industry trends and company strategy.
IBM has openly articulated its comprehensive and diverse strategy for AI ethics, grounded in principles of trust and transparency. These foundational principles serve as the basis for the efforts of IBM’s AI Ethics Board, which assesses AI use cases to ensure they align with IBM’s principles and adapt to the evolving regulatory landscape.
Employing the aforementioned framework, IBM promotes ethical AI governance through its product offerings. IBM watsonx.governance™, a component of the watsonx™ platform set to launch on December 5th, assists organizations in overseeing and managing the entire AI lifecycle. This tool expedites the implementation of responsible, transparent, and explainable AI workflows. Its toolkit automates risk management, monitors models for bias and drift, captures model metadata, and facilitates collaborative, organization-wide compliance.
IBM Consulting also delivers extensive AI consulting services in alignment with the company’s overarching approach to AI ethics. Experts from IBM can assist organizations in implementing responsible and trustworthy AI across various use cases, including customer service, application modernization, talent transformation, marketing, and finance operations.
Here at CourseMonster, we know how hard it may be to find the right time and funds for training. We provide effective training programs that enable you to select the training option that best meets the demands of your company.
For more information, please get in touch with one of our course advisers today or contact us at firstname.lastname@example.org