leadership is actively suppressing, even punishing, learning and improvement, perpetuating quality and safety problems ii. high-trust culture 1. we are all lifelong learners who must take risks in our daily and practices can be used by the entire organization iii. ENABLING ORGANIZATIONAL LEARNING AND A SAFETY CULTURE 1. When we work within a complex system, by definition it is impossible for us to perfectly 2. Dr. Ron Westrum was one of the first to observe the importance of organizational culture on safety and performance. Dr. Westrum defined three types of culture: a. Pathological organizations are

improvements. That means shipping updates regularly, getting feedback, and improving performance and safety at every step. The result: users access new advancements in AI early and often—and your feedback AI in the EnterpriseLesson 1 Start with evals How Morgan Stanley iterated to ensure quality and safety As a global leader in financial services, Morgan Stanley is a relationship business. Not surprisingly theme: AI deployment benefits from an open, experimental mindset, backed by rigorous evaluations, and safety guardrails. The companies seeing success aren’t rushing to inject AI models into every workflow

its 365 product suite 3/23: Anthropic releases Claude, its AI assistant focused on safety & inter- pretability 3/24: USA Department of Homeland Security unveils its AI Roadmap 11/23: 28 countries, including USA, EU members & China, sign Bletchley Declaration on AI Safety 4/24: Meta Platforms releases its open- source** Llama 3 model with 70B parameters lethal autonomous weapons…surveillance and persuasion…biased decision making… impact on employment…safety-critical applications…cybersecurity… AI = Benefits & Risks Source: Stuart Russell and Peter Norvig

as quickly, frequently, cheaply, and as soon as possible i. Institutionalize rituals to increase safety, continuous improvement, and learning ii. Create mechanism to rapidly spread learning throughout evolved beyond it b. ESTABLISH A JUST, LEARNING CULTURE i. Unjust responses to incidents 1. Impede safety 2. Promote fear over mindfulness 3. Create bureaucracy rather than carefulness 4. Cultivate secrecy and gather details of the failure from multiple perspectives2. Empower all engineers to improve safety by allowing them to give detailed accounts of their contributions to the failures 3. Enable and

__name__ == "__main__": asyncio.run(main()) See the User’s guide for additional information. Thread-safety notes In general, methods on RequestHandler and elsewhere in Tornado are not thread-safe. In particular except from a signal handler. Note that this is the only method in IOLoop that makes this thread-safety guarantee; all other interaction with the IOLoop must be done from that IOLoop’s thread. add_callback() name, the returned object does not have a cancel() method. See add_timeout for comments on thread-safety and subclassing. Added in version 4.0. IOLoop.call_later(delay: float, callback: Callable, *args:

to confuse some IDEs.Web framework tornado.web — RequestHandler and Application classes Thread-safety notes Request handlers RequestHandler Entry points RequestHandler.initialize() RequestHandler.prepare() == "__main__": asyncio.run(main()) See the User’s guide for additional information. Thread-safety notes In general, methods on RequestHandler and elsewhere in Tornado are not thread-safe. In particular except from a signal handler. Note that this is the only method in IOLoop that makes this thread-safety guarantee; all other interaction with the IOLoop must be done from that IOLoop’s thread. add_callback()

IoT sensors and historical analysis to manage traffic flow, optimize energy usage, enhance public safety, and improve urban planning. Technology platforms require real-time monitoring and analytics to personalize

necessarily evolve over its life cycle.” b. AN ARCHITECTURE THAT ENABLES PRODUCTIVITY, TESTABILITY, AND SAFETY i. Loosely-coupled ii. Well-defined interfaces that enforce how modules connect with each other

Example . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 383 28.6 Garbage Collection Safety . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 383 28.7 Non-constant Function Specifications Accessing Data through a Pointer . . . . . . . . . . . . . . . . . . . . . . . . . . . 387 28.16 Thread-safety . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 388 28.17 More About may be undefined in inner local scopes, depending on where the code is run, in order to balance safety and convenience. The hard and soft local scoping rules define the interplay between global and local

Example . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 384 28.6 Garbage Collection Safety . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 384 28.7 Non-constant Function Specifications Accessing Data through a Pointer . . . . . . . . . . . . . . . . . . . . . . . . . . . 388 28.16 Thread-safety . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 389 28.17 More About may be undefined in inner local scopes, depending on where the code is run, in order to balance safety and convenience. The hard and soft local scoping rules define the interplay between global and local