Post by apuroos1453 on Dec 5, 2023 11:41:10 GMT
Companies that take the time to invest in projects, there is a wide variation in how those projects are actually designed and implemented. The lack of consistent or clear expectations on how to implement or enforce values makes it difficult for organizations to begin investing effectively. Timothy Simko Triveni Gandhi Dattaikul Recommends For organizations seeking to fully invest, we recommend the following: Develop leadership awareness of the risks of AI. Leaders need to realize that using artificial intelligence is a double-edged sword that brings risks as well as benefits.
Focusing investments on increasing the benefits of AI without a corresponding focus on managing its risks harms value creation in two ways. One is that without the right Special Data guardrails, the benefits of AI may not be as impressive: Our research found that when When practices are put in place, AI innovation increases. Second, the risks posed by AI proliferate as rapidly as the tools in which it is embedded. Strong awareness of AI risks and benefits supports leadership efforts.
Building management awareness can take many forms, including executive education, discussion forums, and programs that have stakeholders with different types of exposure (and experience) to AI risks. Accepting investment will be an ongoing process. As the development and use of AI increases (with no foreseeable end), practices and implementations will also need to adapt.
Focusing investments on increasing the benefits of AI without a corresponding focus on managing its risks harms value creation in two ways. One is that without the right Special Data guardrails, the benefits of AI may not be as impressive: Our research found that when When practices are put in place, AI innovation increases. Second, the risks posed by AI proliferate as rapidly as the tools in which it is embedded. Strong awareness of AI risks and benefits supports leadership efforts.
Building management awareness can take many forms, including executive education, discussion forums, and programs that have stakeholders with different types of exposure (and experience) to AI risks. Accepting investment will be an ongoing process. As the development and use of AI increases (with no foreseeable end), practices and implementations will also need to adapt.