Feature As word of students using AI to automatically complete essays continues to spread, some lecturers are beginning to rethink how they should teach their pupils to write. Writing is a difficult task to do well. The best novelists and poets write furiously, dedicating their lives to mastering their craft. The creative process of stringing together words to communicate thoughts is often viewed as something complex, mysterious, and unmistakably human. No wonder people are fascinated by machines that can write too.

Responsible AI is an umbrella term encompassing fairness and equity, social and environmental impact, and privacy and safety. A more precise definition depicts responsible AI as systems that are consistent with a company's organizational values, while still delivering transformative business impact, according to Steven Mills, chief AI ethics officer, managing director and partner at Boston Consulting Group. "The end there is really important," said Mills, co-author of the report. "I can build it responsibly, considering my values and deliver business impact. Some people think you can do one or the other and I'd argue that's a false choice. You can absolutely do both and you should do both."

Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Securing digital identities is a problem for many organizations. In fact, according to the Identity Defined Security Alliance (IDSA), 79% of organizations have experienced an identity-related breach. Part of the challenge of identity management is the identities that organizations need to manage aren't just human, but machine-based.

Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Even though responsible artificial intelligence (AI) is considered a top management concern, a newly released report from Boston Consulting Group and MIT Sloan Management Review finds that few leaders are prioritizing initiatives to make it happen. Of the 84% of respondents who believe that responsible AI should be a top management priority, only 56% said that it is, in fact, a top priority -- with only 25% of those reporting their organizations has a fully mature program in place, according to the research. Further, only 52% of organizations reported they have a responsible AI program in place – and 79% of those programs are limited in scale and scope, the BCG/MIT Sloan report said.

How do self-driving vehicles learn how to drive? How does artificial intelligence become smart in the first place? It all starts with data. An international company that applies data to a variety of practical uses has chosen to place its first U.S. "delivery center" in New Orleans and will hire 100 people within the next 12 to 18 months to staff it. The available jobs range from entry-level to more skilled positions.

Moreover, the system was designed from the beginning to be maintained on an ongoing basis without the involvement of senior knowledge engineers. In the manufacture of paper, wood is first pulped to separate its fibers. One of the predominant pulp processes is done in a kraft pulp mill and consists of cooking wood chips at elevated temperature and pressure in the presence of certain chemicals (alkali and sulfide), washing the resultant brown pulp, bleaching to make the pulp white, and drying the pulp for shipment to a paper mill. Pitch, or wood resin, is the material in wood that is insoluble in water but soluble in organic solvents. It usually makes up 14 percent of the weight of wood after the bark is removed and is often a sticky material.

We prove non-asymptotic lower bounds on the expectation of the maximum of $d$ independent Gaussian variables and the expectation of the maximum of $d$ independent symmetric random walks. Both lower bounds recover the optimal leading constant in the limit. A simple application of the lower bound for random walks is an (asymptotically optimal) non-asymptotic lower bound on the minimax regret of online learning with expert advice.