This type of insight from AI helps managers plan and make data-driven decisions.
What are predictive insights?
Poor-quality data can cause AI to produce this type of decision
What is an inaccurate or biased decision?
Ethical AI relies on this type of data.
What is accurate, unbiased, high-quality data?
AI helps companies save money by doing this to routine tasks.
What is automating tasks?
AI can reflect this from the data it learns from.
What is human bias?
Employees need this to make sure AI supports their work.
What is proper training?
Besides efficiency, AI improves these two things in organizations.
What are innovation and decision-making?
These two resources are essential for companies to implement AI successfully.
What are skilled workers and strong IT support?
Allowing people to understand and question AI decisions builds this.
What is trust?
AI helps employees by doing this to repetitive tasks and providing guidance.
What is assisting or supporting work?
Employees need this in AI systems to feel confident in its decisions.
What is trust?
Humans must maintain this over AI decisions to prevent errors or misuse.
What is control or accountability?
AI can analyze large datasets to identify these, which humans might miss.
What are patterns or trends?
Irresponsible use of AI can lead to these societal problems.
What are inequality, unfair treatment, or job disruption?
Clear policies, governance, and ethical oversight help align AI with these.
What are human values?