Large language models (LLMs) have shown significant potential to change how we write, communicate, and create, leading to rapid adoption across society. This dissertation examines how individuals and institutions are adapting to and engaging with this emerging technology through three research directions. First, I demonstrate how the institutional adoption of AI detectors introduces systematic biases, particularly disadvantaging writers of non-dominant language varieties, highlighting critical equity concerns in AI governance. Second, I present novel population-level algorithmic approaches that measure the increasing adoption of LLMs across writing domains, revealing consistent patterns of AI-assisted content in academic peer reviews, scientific publications, consumer complaints, corporate communications, job postings, and international organization press releases. Finally, I investigate LLMs' capability to provide feedback on research manuscripts through a large-scale empirical analysis, offering insights into their potential to support researchers who face barriers in accessing timely manuscript feedback, particularly early-career researchers and those from under-resourced settings.

Kara Frederick, tech director at the Heritage Foundation, discusses the need for regulations on artificial intelligence as lawmakers and tech titans discuss the potential risks. Despite the challenges it faces, the financial sector stands to benefit greatly from artificial intelligence (AI) integration. In terms of technology adoption, the financial advisory and wealth management industry has been slow. Despite the rapid advancement of AI and technology, many advisers have continued to use old systems that, in some cases, date back decades. This failure has limited the improved management of client assets in a fast-changing economic environment.

Jeff Dirks is fascinated by new technologies like generative AI. But when it comes to implementation, the chief information and technology officer of workforce augmentation firm TrueBlue chooses a path that trails early adopters. "We're in the early majority," is the CIO/CTO's blunt self-assessment. Although many IT leaders would like to think of themselves -- and have others think of them -- as in the vanguard of new technology adoption, the vast majority find themselves in the middle of a bell curve, with innovators leading the way and laggards trailing behind, according to Everett Rogers' diffusion of innovations theory [see chart]. But there is no one "right" place to be along the curve.

Recent shifts in patient behaviors and preferences have intensified the demand for technology adoption throughout numerous healthcare processes. Artificial Intelligence is perfectly positioned to aid in many manual healthcare tasks, varying from diagnostics to AI patient billing. So, what exactly is AI? Artificial Intelligence is the wide-ranging branch of computer science engaged with building software programs that mimic human intelligence to perform tasks and make decisions. Automating redundant tasks is an effective strategy for reducing human labor and errors, which explains the recent momentum and growth of the AI industry. In fact, AI technology is predicted to reach $62 billion market value in 2022 alone, an increase of 21.3% from 2021.

The AI adoption rate in industrial settings has increased from 19% to 31% in slightly more than two years, according to data from the recently released 252-page Industrial AI and AIoT Market Report 2021–2026. On top of the 31% of respondents that have fully or partially rolled out AI technology in their operations, an additional 39% are currently testing or piloting the technology. Increased AI adoption can be witnessed across the board but is especially strong in the energy vertical and in process industries, such as oil and gas or chemicals. The combination of high-value assets, large volumes of operational data, and processes that rely on hundreds of parameters contributes to the strong adoption in these industries. Common industrial AI applications include maintenance (e.g., predictive maintenance [PdM]), predictive quality control, the use of machine vision for fault detection, AI-optimized inventory management, and AI-based production planning and optimization.

Somebody wise once said, "The stone age didn't end because they ran out of stones." I believe it was the hunger to grow, survive, and elevate; in the constant journey to move ahead, there was a new age! In an ever-evolving world, the only constant is to learn and keep yourself upgraded. The world was quick to realize this with the global pandemic of 2020. Industries had to gear up overnight to stay ahead of uncertainties and keep the businesses running seamlessly.

The development and adoption of advanced technologies including smart automation and artificial intelligence has the potential not only to raise productivity and GDP growth but also to improve well-being more broadly, including through healthier life and longevity and more leisure. Alongside such benefits, these technologies also have the potential to reduce disruption and the potentially destabilizing effects on society arising from their adoption. Tech for Good: Smoothing disruption, improving well-being (PDF–1MB) examines the factors that can help society achieve such benefits and makes a first attempt to calculate the impact of technology adoption on welfare growth beyond GDP. Our modeling suggests that good outcomes for the economy overall and for individual well-being come about when technology adoption is focused on innovation-led growth rather than purely on labor reduction and cost savings through automation. This needs to be accompanied by proactive transition management that increases labor market fluidity and equips workers with new skills. Technology for centuries has both excited the human imagination and prompted fears about its effects. Today's technology cycle is no different, provoking a broad spectrum of hopes and fears.

Integrate automation into your business strategy or risk getting left behind. Over the last year, companies had to embrace technology and automation to maintain operations and keep customers serviced. Almost every business had to implement new systems and solutions rapidly to overcome immediate challenges brought on by the pandemic. Even if the trend existed before 2020, the last year saw unprecedented acceleration that is likely to continue. Every business owner now understands what benefits are available from process automation and advanced IT infrastructure.

In 1953, US senators grilled General Motors CEO Charles "Engine Charlie" Wilson about his large GM shareholdings: Would they cloud his decision making if he became the US secretary of defense and the interests of General Motors and the United States diverged? Wilson said that he would always put US interests first but that he could not imagine such a divergence taking place, because, "for years I thought what was good for our country was good for General Motors, and vice versa." Although Wilson was confirmed, his remarks raised eyebrows due to widespread skepticism about the alignment of corporate and societal interests. The skepticism of the 1950s looks quaint when compared with today's concerns about whether business leaders will harness the power of artificial intelligence (AI) and workplace automation to pad their own pockets and those of shareholders--not to mention hurting society by causing unemployment, infringing upon privacy, creating safety and security risks, or worse. But is it possible that what is good for society can also be good for business--and vice versa?

"The only constant in life is change" How many times you have seen a movie or a show and think "This is the future of technology". Well it's not all future anymore, because the future is here! We are currently witnessing a technological revolution in all industry verticals and as one of the most agile industry, events business is one of them. To be on top of the game and facilitate business, events businesses have accommodated and incorporated the change. These are the certain trends that are coming and forward-looking events companies have started embracing them.