Introduction
                                    
                                        Measure anything in AI with Doug Hubbard
                                            
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                                1. Trends and Challenges in AI Measurement
                                    
                                        Treating AI as knowledge work
                                            
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                                2. Principles of Measurement Applied to AI
                                    
                                        The concept of measurement
                                            
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                                        Object of measurement
                                            
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                                        AI measurement methods
                                            
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                                3. Examples of Approaches to Measuring AI and Its Applications
                                    
                                        Quantifying AI performance
                                            
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                                        Measuring the current state to measure AI performance
                                            
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                                        Calibrated probability assessments
                                            
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                                        An example of AI in decision-making
                                            
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                                4. AI Adoption and the Future
                                    
                                        Diffusion and adoption of AI
                                            
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                                        The future of AI
                                            
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                                        Quantifying and decomposing risk in AI implementation
                                            
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                                        Anything, including AI, is measurable
                                            
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