Page 31 - AI Standards for Global Impact: From Governance to Action
P. 31

AI Standards for Global Impact: From Governance to Action



                   •    The rapid evolution of AI demands a shift from one-time education to lifelong, continuous
                        learning. Employees must have a foundational understanding of AI, paired with ongoing
                        training to stay updated with new tools and technologies. 
                   •    Personalized AI-enabled training methods, such as AI coaching, can make learning more
                        engaging and tailored to individual needs and roles.                                       AI  Part 1: International
                   •    Employees trained in AI tools can improve efficiency and create opportunities for
                        innovation. New roles, such as data scientists and AI coaches, will emerge, but this requires
                        individuals to embrace AI proactively and integrate it into their work. 
                   •    The "three lanes of AI development": 
                        o  AI research: Core advancements in AI technologies, such as LLMs. 
                        o  Applied AI: Real-world implementation of AI in industries such as banking, healthcare,
                           and supply chains, even as the technology continues to mature. 
                        o  Standards and guardrails: Developing regulations, safety standards, and ethical
                           frameworks to ensure AI is used responsibly and effectively. 
                   •    Trust in AI adoption depends on clear standards, safety regulations and risk management
                        practices. Standards can act as the "seat belts and speed limits" for AI, helping ensuring
                        responsible development and use of the technology. 
                   •    Employees at all levels should be trained to recognize and mitigate risks associated with
                        AI tools. This includes understanding regulatory compliance and using AI responsibly to
                        avoid unintended consequences, such as mishandling proprietary data. 
                   •    Organizations should provide safe environments for employees to experiment with AI
                        tools. AI sandboxes allow employees to learn, test, and familiarize themselves with new
                        technologies without risking compliance or data security. 
                   •    A Call to Action was made to leaders to prioritize AI education, create pathways for
                        continuous learning, and foster a culture of responsible AI use. Employees should
                        proactively learn about AI tools relevant to their roles to remain competitive in the evolving
                        workplace 































                   Figure 21: Beena Ammanath, Author “Trustworthy AI” & “Zero Latency Leadership”
                   and Global Deloitte AI Institute leader, Deloitte










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