Prof. Ryan Abbott has gathered an amazing group of scholars for his new book on AI and IP that is forthcoming later this year. In general, the various chapters focus on various aspects of machine-based AI. My contribution takes a different tack and instead consider idea that modern corporations and other non-human entities are also a form of artificial intelligence. But, unlike their computer-bound AI cousins, corporations have already been granted the legal fiction of personhood status and many accompanying civil rights.[1] An item still lacking from the corporate arsenal is inventorship rights. Yes, a corporation may own or license an invention and its resulting patents.

Publicly traded companies are required to submit periodic reports with eXtensive Business Reporting Language (XBRL) word-level tags. Manually tagging the reports is tedious and costly. We, therefore, introduce XBRL tagging as a new entity extraction task for the financial domain and release FiNER-139, a dataset of 1.1M sentences with gold XBRL tags. Unlike typical entity extraction datasets, FiNER-139 uses a much larger label set of 139 entity types. Most annotated tokens are numeric, with the correct tag per token depending mostly on context, rather than the token itself. We show that subword fragmentation of numeric expressions harms BERT's performance, allowing word-level BILSTMs to perform better. To improve BERT's performance, we propose two simple and effective solutions that replace numeric expressions with pseudo-tokens reflecting original token shapes and numeric magnitudes. We also experiment with FIN-BERT, an existing BERT model for the financial domain, and release our own BERT (SEC-BERT), pre-trained on financial filings, which performs best. Through data and error analysis, we finally identify possible limitations to inspire future work on XBRL tagging.

Goodway Group, a leading data-driven and technology-enabled digital media and marketing services firm, has launched its new people-based identity solution: Passport One . The new solution provides marketers with a privacy-forward proprietary database to reach customers, enhance existing first-party data, and create new opportunities for closed-loop measurement. Passport One is among a suite of products that comprise Goodway Group's Modern Marketing Toolkit, which is strengthened by Goodway Group's teams of analysts, data scientists, and strategists. Passport One is the newest addition to Goodway Group's award-winning tech stack, which is designed to meet the needs of sophisticated marketers' biggest challenges, including consumer resolution, reach and engagement, insights-led measurement and strategic media investment. Amid increasing privacy legislation and platform-based restrictions on consumer data, establishing a clear first-party data strategy is critical to brands' success in the cookieless future.

Learn involves how to extract information from data that makes systems smart and adaptive or even autonomous. Since the generation and storage of data will often be distributed, there is a strong need for efficient distributed data analytics. A fundamental understanding of how machine learning algorithms extract information from data is still missing, and the impact of the data on the learning process and the resulting bias is hardly understood. This gives rise to questions concerning legal safeguards and the rule of law. If you are interested in joining the working group, please feel free to contact the chair.

The emergence of artificial intelligence (AI) has not only offered new developments in technology and science but also prompted concerns regarding its impact on commerce and privacy, among other issues. For that reason, the United States is exploring the actions it can take with an AI advisory committee that will continue to inform the government of new developments in artificial intelligence as the technology develops. AI can solve a wide range of problems, from uncovering the identities of anonymous internet users to even predicting the weather with astounding success. The question arises: what should artificial intelligence be used for, and how should the United States regulate it? For private technology companies, the answer to these questions is simple.

Artificial intelligence (AI) has already had a profound impact on business and society. Applied AI and machine learning (ML) are creating safer workplaces, more accurate health diagnoses and better access to information for global citizens. The Fourth Industrial Revolution will represent a new era of partnership between humans and AI, with potentially positive global impact. AI advancements can help society solve problems of income inequality and food insecurity to create a more "inclusive, human-centred future" according to the World Economic Forum (WEF). There is nearly limitless potential to AI innovation, which is both positive and frightening.

Have you ever watched any of the "Terminator" movies with Arnold Schwarzenegger? If you have, you will be familiar with the evil villain "Skynet," which is a fictional artificial, neural network-based, conscious group-mind and artificial general superintelligence system that decided to terminate all human life in the late 2020s. It has become palpably obvious that the company that most closely resembles Skynet today is Google. You may recall that Google purchased the leading artificial intelligence company Deep Mind a little over eight years ago for the paltry sum of $500 million. This was likely the most important purchase Google made to jumpstart them to Skynet status, with their already massive surveillance capacity corralling data collected from its search engine, which controls 93% of the searches in the world.

Ever since artificial intelligence (AI) made the transition from theory to reality, research and development centers across the world have been rushing to come up with the next big AI breakthrough. This competition is sometimes called the "AI race". In practice, though, there are hundreds of "AI races" heading towards different objectives. Some research centers are racing to produce digital marketing AI, for example, while others are racing to pair AI with military hardware. Some races are between private companies and others are between countries.

The event attracted more than 700 attendees and provided insights into how advanced technologies can help Customs administrations facilitate the flow of goods across borders. The publication titled, "The role of advanced technologies in cross-border trade: A customs perspective" provides the current state of play and sheds light on the opportunities and challenges Customs face when deploying these technologies. The publication outlines the key findings of WCO's 2021 Annual Consolidated Survey and its results on Customs' use of advanced technologies such as blockchain, the internet of things, data analytics and artificial intelligence to facilitate trade and enhance safety, security and fair revenue collection. The joint publication highlights the benefits that can result from the adoption of these advanced technologies, such as enhanced transparency of procedures, sharing of information amongst all relevant stakeholders in real time, better risk management, and improved data quality, leading to greater efficiency in Customs processes and procedures. In his remarks, WCO Deputy Secretary General Ricardo Treviño Chapa said, "Technologies will assist implementation of international trade facilitation rules and standards, such as the WCO Revised Kyoto Convention and the WTO Trade Facilitation Agreement. We are therefore delighted to be partnering with the WTO, to ensure that our work in assisting our Members' digital transformation journeys is complementary, that we bring all relevant partners to the same table, and that we avoid duplication."

My grandmother, Claire Hastings, was born in the 1920s on a farm in Armidale, northern New South Wales. That was a relatively common thing, with just 43% of the population living in cities, compared with more than 70% now. She lived in a small wooden hut, with a chicken coop out the front and fields out the back. When she and her siblings came home from school, they helped plough the fields with a horse-drawn plough until sundown. Little did she know this life would soon disappear.