The Pentagon’s research and engineering office is developing a series of technical standards and best practices for the department’s artificial intelligence efforts, according to Mark Lewis, director of research and engineering for modernization.. Home > Artificial Intelligence (AI) > 10 Best Practices for Artificial Intelligence Related Intellectual Property. In particular, IDC predicts artificial intell i-gence to grow from $8 billion in 2016 to $47 billion by 2020 changing the face of business practices This article is for general information purposes and is not intended to be and should not be taken as legal advice. Sejuti currently works as Senior Technology Journalist at Analytics India…. Therefore, organisations are struggling to hire talented professionals to lead their AI-based projects, which in turn, slower their process of achieving their business objectives. Although businesses understand the advantages of artificial intelligence, they fail to create a clear strategy to roll out AI-based projects. Organisations need to create a culture that welcomes AI business models and simultaneously empower people to leverage the abilities of artificial intelligence. In health care, artificial intelligence (AI) can help manage and analyze data, make decisions, and conduct conversations, so it is destined to drastically change clinicians’ roles and everyday practices. Maybe that’s why it seems as though everyone’s definition of artificial intelligence is different: AI isn’t just one thing. 10 Best Practices for Artificial Intelligence Related Intellectual Property, AI Update: New Executive Order on Promoting the Use of Artificial Intelligence in Federal Agencies Pushes Developing Public Trust for Future Expansion, IoT Update: President Trump Signs IoT Cybersecurity Act of 2020 into Law, AI Update: The European Commission publishes a proposal for a Regulation on European Data Governance (the Data Governance Act), IoT Update: Congress Passes IoT Cybersecurity Improvement Act of 2020, FCC Plans to Advance Proposal to Change Device Marketing Rules, National Telecommunications & Information Administration. However, if the pre-existing AI is widely known or available, a higher level description may suffice. The U.S. Patent and Trademark Office (“USPTO”) published over 27,000 AI‑related patent applications since 2017, with over 16,000 of them published within the past eighteen months. Practice 2: Focus on Judgment Work Many decisions require insight beyond what artificial intelligence can squeeze from data alone. Not surprisingly, investment in AI R&D has given rise to a substantial increase in AI‑related intellectual property (“IP”). Copyright © 2020, Covington & Burling LLP. Artificial intelligence (AI) is rapidly opening up a new frontier in the fields of business, corporate practices, and governmental policy. The intelligence of machines and robotics with deep learning capabilities have created profound disrupting and enabling impacts on business, governments, and society. 5. Many companies also rely on AI-as-a-service solutions where people from non-technical backgrounds can also leverage the benefits of artificial intelligence without training. AI adoption is always a top-down initiative, and with business leaders getting comfortable with their traditional infrastructure, it gets challenging for the rest of the organisation to move towards digitisation. However, the United Kingdom Patent Office (“UKIPO”), the EPO, and the USPTO have recently stated that inventors must be human, and do not allow AI tools to be named as an inventor. To understand the responsible use of artificial intelligence, enterprises need to understand the impact of their automation on the economy. Gregory Discher is Of Counsel and Fredericka Argent and Daniel Rios are associates at the firm. According to a recent report, only 17% of respondents stated that their companies have mapped out potential benefits of artificial intelligence in their organisation, where only 18% of respondents indicated that their organisations have a clear strategy in place. Similarly, EU law affords copyright protection to databases that are “original” in the selection or arrangement of their contents. Hence, the shortage of experienced professionals with training became a critical problem for businesses who are willing to adopt artificial intelligence and transform their traditional business to data-driven models. While some companies are adopting artificial intelligence to great advantage – most companies are spinning their wheels with fruitless AI projects that go nowhere. In addition, organizations should familiarize themselves with the growing number of “free” standard form agreements used to make certain IP available, such as open source and Creative Commons licenses. If patent protection seems unfeasible, the organization should consider trade secret or another alternative. Europe also provides for a sui generis database right, which provides limited protection to databases if significant investments have been made to obtain, verify or present their contents. This regulation will allow businesses and employees to trust AI-generated insights. For example, if the patent application relates to an improvement to pre‑existing AI that is not well‑known or widely available, then a relatively detailed disclosure may be needed to describe and enable the invention. Image Courtesy of 3XN. Given the potential difficulties in identifying the inventors and the evolving nature of the law, organizations should ensure that all potential inventors have vested or otherwise conveyed, in many cases by contract, any rights they may have in the patent application to the organization. They also should include steps for reducing risks of third party infringement and other IP claims and address trademark, socials media, and other IP matters. In artificial intelligent systems, if we want to move toward artificial general intelligence, empathy will be essential. From diagnosing patients with solutions like IBM’s Watson and augmenting human behaviour to offer mental health services, to the build of surgical … Patients today have an ever-expanding number of choices to consider, particularly where specialists are concerned. Artificial Intelligence (AI) and Machine Learning (ML) are already making a big impact on how people work, socialize, and live their lives. However, identifying the human authors of AI‑generated works is not necessarily easy. Others use AL and ML to gain real-time monitoring of their supply chain, which in turn, can improve the business bottom line. Protecting rights in training data, AI data outputs, and other important data also requires careful attention. Complete Tutorial On Txtai: An AI-Powered Search Engine, responsible use of artificial intelligence, Full-Day Hands-on Workshop on Fairness in AI, Machine Learning Developers Summit 2021 | 11-13th Feb |. As consumption of products and services built around AI/ML increases, specialized actions must be undertaken to safeguard not only your customers and their data, but also to protect your AI and algorithms from abuse, trolling and extraction. Artificial Intelligence in Architecture. How Artificial Intelligence is Impacting Law Practices One of the more interesting evolutions in legal practice is the increasing application of ‘artificial intelligence’ (AI). The developments that follow this communication could impact how organizations protect their data. Companies also go through an inner dilemma of introducing artificial intelligence in their organisation, which in turn, acts as a barrier for businesses to leverage the full potential of emerging technologies. From targeted phishing campaigns to new stalking methods: there are plenty of ways that artificial intelligence could be used to cause harm if it fell into the wrong hands. As with patents, securing rights from all potential authors, including in many cases by contract, can be important for addressing ownership, including for AI outputs and trained algorithms. How best to comply with the written description requirement may depend upon various factors, including the nature of the invention and the information that is available. The World Intellectual Property Organization (“WIPO”) has reported similar increases in AI‑related patent filings globally. Security also plays a crucial role in creating a comprehensive AI culture, where companies are working beyond compliance and obliging ethics in practising artificial intelligence. Artificial intelligence (AI) is integral in Alibaba’s daily operations and is used to predict what customers might want to buy. AI also has emerged as an important tool for IP development. For instance, the UK’s Copyright, Designs and Patents Act 1988 provides that when “there is no human author” of a computer‑generated work, the author “shall be taken to be the person by whom the arrangements necessary for the creation of the work are undertaken.” Similarly, the U.S. Organizations should protect their AI‑related IP given its potential value. Additionally, organizations continue to invest in developing AI algorithms, software, and data assets. Artificial intelligence (AI), is intelligence demonstrated by machines, unlike the natural intelligence displayed by humans and animals. In a recent announcement, Google has shared a few best practices and a framework for the responsible use of AI within their organisation. To break down this barrier, business leaders must bridge the technical gaps in employees by making non-technical people aware of artificial intelligence. Some options for protection include patent, copyright, trade secret, trademark, and contract, and organizations frequently employ a combination of protections. In the U.S., the inventor(s) owns the patent application, absent an agreement or other arrangement to the contrary. But the borders are becoming fuzzy. A lot of this could also be attributed to organisations’ lack of data literacy, which is extremely critical for businesses to understand deployment of newer technologies. The chapter offers much needed insights on how the Artificial Intelligence is doing transformations in the Human Resource Management, functions and practices. This document shares some of Microsoft’s security lessons-learned from designing products and operating online services bui… Artificial intelligence is a constellation of many different technologies working together to enable machines to sense, comprehend, act, and learn with human-like levels of intelligence. This blog gives insight to just how far artificial intelligence could be used in healthcare. Copyright Office has stated that it will register copyrights only for original works of authorship created by humans. Such an approach needs strategic planning, where businesses need to define their objectives and plans that can help the company grow and develop. In fact, according to a recent study, it has been revealed that only 25% of organisations across industry consider the ethical implications of an AI solution before investing in it. AI is While the global pandemic has dampened economic growth, focus continues on maximizing AI to address COVID-19 and other important needs. Leading AI textbooks define the field as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. This communication focuses on enabling the EU to realize its potential in the data economy by (1) introducing a cross‑sectoral governance framework for data access and use, (2) improving the EU’s data‑processing infrastructure and creating interoperability standards, (3) investing in skills and small and medium enterprises, and (4) creating common European data spaces in strategic sectors, such as health, finance, agriculture and energy. In this article, we are going to share a few ways companies can smoothly adopt artificial intelligence and machine learning in their organisation to enhance their business productivity amid this crisis. About; 25 Years of Digital; Testimonials; Contact; AI Healthcare Sectors. Copyright Office and other governmental agencies are examining many AI‑related IP issues, including AI inventorship, patent eligibility, written description and enablement requirements, data issues, and AI‑related copyright issues. ArtificialIntelligence.health is a medical AI software development company that is committed to making custom artificial intelligence solutions. With natural language processing, the … For example, some U.S. case law suggests that the author of an AI program will be deemed to be the author of outputs generated by such program if the program, as opposed to the end user, did the “lion share of the work” to generate such outputs. We have to anticipate how this is impacting business in order to give us a head start,” said Dean Franz Heukamp. However, limited copyright protection may be available for how the data is selected, coordinated, or arranged. Through AI, machines can analyze images, comprehend speech, interact in natural ways, and make predictions using data. Specifically, patent applications must identify the inventors. Key takeaways from the conference included these 10 ways managers should approach AI: 1. They are also influencing the larger trends in global sustainability. Businesses should also create transparency in developing AI-based solutions for people, which, in turn, will develop a sense of trust in the solution. In the U.S., a patchwork of laws potentially may apply to TDM and similar activities, such as the fair use copyright exception, trademark law, contract law, the Computer Fraud and Abuse Act, and state law. To have an ethical usage of artificial intelligence business leaders need to formulate comprehensive AI strategies, develop a governance framework for data security, prioritise explainability, and create responsible AI applications that are significant to human development. Many organizations, both public and private, have invested substantial resources in AI research and development (R&D). Here, the companies were aiming to increase awareness among companies and institutions to set a strict guideline to use this evolving technology. Alongside, businesses need to create a common AI vision for their employees to set their priorities accordingly. ICT advances, specifically computational power, distributed computing methods and software capability techniques amongst others, allow for what once was science fiction to become science faction. AI and ML are not only transforming the way businesses operate, but also providing a massive opportunity for companies to gain a competitive advantage. Artificial intelligence (“AI”) is expanding in many industries and could add approximately $13 trillion to the global economy by 2030. Authorship also can have important implications for copyright ownership. Artificial intelligence (AI) is no longer a thing of the future — it is here. The United States, the European Union, Canada, China and many other countries have developed, or are developing, a national To get the most out of artificial intelligence, businesses must understand the potential benefits of artificial intelligence and how it can be used to transform their businesses. Organizations should have policies to protect the confidentiality and security of their trade secrets. Sejuti currently works as Senior Technology Journalist at Analytics India Magazine (AIM). For example, WIPO, the European Patent Office (“EPO”), the USPTO, the U.S. Also, several ed-tech companies have started AI courses for everyone where they are covering a complex topic of artificial intelligence for non-technical folks. To progress with artificial intelligence, there are a few things businesses should consider — ethics, privacy and responsible use of artificial intelligence. For instance, the European Commission recently issued a communication on “A European strategy for data”. Alongside leaders should also take this opportunity to upskill their existing employees which will help them fill the gap of skills shortage. If so, patent applications must be prepared to address such criteria and the organization’s objectives. However, due to several reasons – like lack of skilled talent and budget, along with an understanding of newer technologies – have created a host of barriers for enterprises to smoothly adopt artificial intelligence and machine learning for their organisations. Many businesses use artificial intelligence to enhance their customer experience by implementing predictive analytics on business operations. Enterprises around the world are rapidly incorporating artificial intelligence (AI) into existing and new products and processes. For example, in the U.S., broad statutory patent eligibility language has been interpreted by the Supreme Court to exclude abstract ideas, laws of nature and natural phenomena (including products of nature), with recent cases establishing a two‑step test, known as the Alice/Mayo framework, for determining whether a patent claim is directed to patent‑eligible subject matter. On the other hand, if the same tasks were performed by humans, the costs will be ongoing each month. Enterprises, sometimes, also struggle to identify areas of their business where artificial intelligence can be applied to gain benefits. This effort is not just to improve such offerings and services, but to achieve a qualitatively higher level of capability not possible before. Organizations can rely on trade secret or similar laws to protect data, so long as appropriate measures are implement to protect the confidentiality of the data. Many companies still work on silos and therefore lack data readiness, which act as a massive barrier in adopting artificial intelligence. What’s more, the initiatives of both the private and government sectors to grant even the small-scale business owners access to AI technology has made great strides, so much so that there are now reliable AI training programs that business owners can enroll in to learn the technology. Focusing on how artificial intelligence will impact accountants, AI will very soon help you to automate much of the routine and repetitive activities that are undertaken on a daily, weekly or annual basis. Next generation digital technologies like machine learning (ML) and artificial intelligence (AI) are creating a new wave of transformation in Business. While there is no “one-size-fits all approach” to protecting and maintaining AI‑related IP rights, by following the best practices outlined above, organizations should be able to develop and implement and IP strategies and procedures that further their business objectives. In the EU, the 2019 Digital Single Market Directive defines “text and data mining” as “any automated analytical technique aimed at analysing text and data in digital form in order to generate information which includes but is not limited to patterns, trends and correlations.” This Directive requires EU Member States to implement certain exceptions to copyright infringement for these activities. Many governments have also created regulations and strategies around the usage of artificial intelligence for companies to deploy acceptable usage of this technology. Even hospitals are increasingly promoting themselves to attract audiences. Organizations increasingly are using text and data mining (TDM) and similar means to obtain AI training data and should ensure that these activities do not violate third party rights or applicable laws or agreements. Practices. Artificial intelligence can also be used in medical marketing to help medical practices effectively compete for patients. Standardization and best practices are essential to allow for innovation to occur over open standards. Industry Voices—AI doesn't have to replace doctors to produce better health outcomes . There are many versions of these licenses with varying terms. 10 Best Practices for AI-Related Intellectual Property. Artificial Intelligence (AI) can be defined as a system that has been designed to interact with the world in ways we think of as human and intelligent. Contracts to achieve a qualitatively higher level of capability not possible before or arranged to upskill their employees! 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