Earlier this year, Vatican officials signed a pledge with Microsoft and IBM to promote ethical use of artificial intelligence for protecting the rights of the people. ArtificialIntelligence.health is a medical AI software development company that is committed to making custom artificial intelligence solutions. Under U.S. law, patent applications must include a written description that demonstrates that the inventor(s) had possession of the invention at the time of filing and that enables persons of “ordinary skill in the art” to make and use the invention. This document shares some of Microsoft’s security lessons-learned from designing products and operating online services bui… As artificial intelligence has become a growing force in business, today’s top AI companies are leaders in this emerging technology.. Often leveraging cloud computing, AI companies mix and match myriad technologies.Foremost among these is machine learning, but today’s AI leading firms tech ranging from predictive analytics to business intelligence to data warehouse tools to deep learning. Organizations should assess the various forms of these licenses and consider how they might be used on an in‑bound and out‑bound basis to further their business objectives. Artificial Intelligence in Architecture. 10 Best Practices for AI-Related Intellectual Property. This article is for general information purposes and is not intended to be and should not be taken as legal advice. Although businesses understand the advantages of artificial intelligence, they fail to create a clear strategy to roll out AI-based projects. 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. From diagnosing patients with solutions like IBM’s Watson and augmenting human behaviour to offer mental health services, to the build of surgical … The IP strategy and procedures should prioritize protection for valuable IP, take into account that existing laws may change, and be modified, as needed, as such laws change. Businesses should also create transparency in developing AI-based solutions for people, which, in turn, will develop a sense of trust in the solution. For instance, the European Commission recently issued a communication on “A European strategy for data”. Organizations can rely on these exceptions, so long as IP owners have not exercised their rights to prohibit TDM. *Lee Tiedrich is a partner at Covington & Burling LLP and Co-Chair of the global and multi‑disciplinary Artificial Intelligence Initiative. Artificial intelligence definition: Artificial intelligence is a type of computer technology which is concerned with making... | Meaning, pronunciation, translations and examples The Principles of AI Ethics demonstrate the IC’s commitment to ensuring its use and implementation of AI respect the law, protect privacy and civil liberties, are transparent and accountable, remain objective and equitable, appropriately incorporate human judgment, are secure and resilient by design, and incorporate the best practices of the science and technology communities. The chapter offers much needed insights on how the Artificial Intelligence is doing transformations in the Human Resource Management, functions and practices. 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. The developments that follow this communication could impact how organizations protect their data. Artificial intelligence is making its way into hospitals around the globe, to help expand, sharpen and ease the mind of doctors – so they can do the same for patients. Go to Overview . Through AI, machines can analyze images, comprehend speech, interact in natural ways, and make predictions using data. Enterprises, sometimes, also struggle to identify areas of their business where artificial intelligence can be applied to gain benefits. Authorship also can have important implications for copyright ownership. 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 also should evaluate the broader legal landscape pertaining to data. Trade secrets typically represent an important part of an organization’s IP portfolio. Alongside, businesses need to create a common AI vision for their employees to set their priorities accordingly. However, identifying the human authors of AI‑generated works is not necessarily easy. Artificial intelligence (AI) is integral in Alibaba’s daily operations and is used to predict what customers might want to buy. Organizations should have a written IP strategy, and procedures for implementing this strategy, that efficiently streamlines (1) the identification of IP assets, (2) assessment of their importance to the business, and (3) determination of how best to protect the IP. Artificial intelligence contributes to the financial health of the company in the regard that the only investment that is needed is the initial one for the development and the integration of the system. 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. 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. Sejuti currently works as Senior Technology Journalist at Analytics India…. Additionally, organizations continue to invest in developing AI algorithms, software, and data assets. 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. Organisations need to create a culture that welcomes AI business models and simultaneously empower people to leverage the abilities of artificial intelligence. They are also influencing the larger trends in global sustainability. Advertisers and others leverage AI to create content. As mentioned above, contracts can help secure and allocate IP rights, including for training data, AI outputs, and algorithms. In fact, according to a recent survey, approximately 50% of respondents reported that their organisations lack skilled talents to implement real AI. However, limited copyright protection may be available for how the data is selected, coordinated, or arranged. Open source licenses often are used for making software freely available, while Creative Commons licenses often are used to make other copyrighted works and databases available on a no‑cost basis. Maybe that’s why it seems as though everyone’s definition of artificial intelligence is different: AI isn’t just one thing. If patent protection seems unfeasible, the organization should consider trade secret or another alternative. Many organizations, both public and private, have invested substantial resources in AI research and development (R&D). The intelligence of machines and robotics with deep learning capabilities have created profound disrupting and enabling impacts on business, governments, and society. Patients today have an ever-expanding number of choices to consider, particularly where specialists are concerned. This regulation will allow businesses and employees to trust AI-generated insights. It will also help you to: empower quick decision-making; create smart insights; examine huge … To break down this barrier, business leaders must bridge the technical gaps in employees by making non-technical people aware of artificial intelligence. AI and ML are not only transforming the way businesses operate, but also providing a massive opportunity for companies to gain a competitive advantage. 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. 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. With these novel technologies penetrating the industry, it has created a huge skills gap, which has surpassed the demand for skilled AI talents. 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. 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. Artificial intelligence (AI) is, in fact, becoming a mainstay component of the legal profession. It is important to understand the potential impact of AI on learning, teaching, and education, as well a s on policy development. 5. Copyright Office has stated that it will register copyrights only for original works of authorship created by humans. Depending upon the circumstances, determining whether the program did the “lion’s share of the work” may be challenging. 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. 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. Next generation digital technologies like machine learning (ML) and artificial intelligence (AI) are creating a new wave of transformation in Business. Home > Artificial Intelligence (AI) > 10 Best Practices for Artificial Intelligence Related Intellectual Property. This analysis may be complicated because patents are territorial, and patent subject matter eligibility requirements vary among jurisdictions, particularly for AI‑related inventions. These policies should take into account the amount of remote access and work, such as during the pandemic, and include measures to guard against unauthorized disclosure and use of trade secrets and to investigate and remediate actual or suspected misappropriations. The dependency on automation has accelerated due to COVID-19 pandemic. To address these issues, organizations should identify the countries where they desire patent protection for their AI inventions and assess whether such inventions satisfy the applicable subject matter eligibility criteria. While some leaders are championing genuinely impactful AI solutions that will drive their business and career forward – most leaders are shepherding projects that were destined to fail (almost as soon as they were conceived). When preparing AI‑related patent applications, organizations should consider how to disclose the invention. The United States, the European Union, Canada, China and many other countries have developed, or are developing, a national 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.. Reach out at sejuti.das@analyticsindiamag.com, Copyright Analytics India Magazine Pvt Ltd, NVIDIA Announced It’s First GPU-Based AI Chip That Can Boost Performance By Up To 20x, Top Deep Learning Based Time Series Methods, How AI Is Shaping Safety Standards On Oil Rigs, How Is TCS Helping With COVID-19 Testing In India, Use Of Algorithmic Decision Making & AI In Public Organisations, 8 Upcoming Webinars On Artificial Intelligence To Look Forward To. Artificial intelligence (AI) is no longer a thing of the future — it is here. 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. Artificial intelligence (“AI”) is expanding in many industries and could add approximately $13 trillion to the global economy by 2030. To maximize protection for AI‑related IP while policy deliberations continue, organizations can follow these 10 best practices. Organizations also commonly utilize contracts to protect data. While some companies are adopting artificial intelligence to great advantage – most companies are spinning their wheels with fruitless AI projects that go nowhere. Practices. Here, the companies were aiming to increase awareness among companies and institutions to set a strict guideline to use this evolving technology. 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. 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. Artificial Intelligence (AI) and Machine Learning (ML) are already making a big impact on how people work, socialize, and live their lives. Many businesses use artificial intelligence to enhance their customer experience by implementing predictive analytics on business operations. In the U.S., authors own the copyright, absent an agreement, work‑for‑hire, or another arrangement to the contrary. 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. 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. There are many areas where artificial intelligence could be implemented to make a business impact, but CEOs and COOs still resist to adopt this technology in their business operations. Being Tony Stark: How To Build A Voice Assistant Of Your Own? This blog gives insight to just how far artificial intelligence could be used in healthcare. To understand the responsible use of artificial intelligence, enterprises need to understand the impact of their automation on the economy. The World Intellectual Property Organization (“WIPO”) has reported similar increases in AI‑related patent filings globally. 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. Some of the other challenges mentioned were lack of tools, no access to required data etc. Trade secrets may be preferable to patents in several circumstances, such as when (1) the patentability requirements, including those mentioned above, may not be satisfied, (2) the cost of pursuing patent protection outweighs the benefits, or (3) the need for potential IP protection extends beyond the available patent term. Industry Voices—AI doesn't have to replace doctors to produce better health outcomes . 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 |. 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. Global investment in AI start‑ups has increased steadily, from $1.3B in 2010 to over $40.4B in 2018, at an average annual growth rate exceeding 48%. 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. In artificial intelligent systems, if we want to move toward artificial general intelligence, empathy will be essential. With natural language processing, the … When considering patenting AI‑related inventions, organizations must carefully answer the threshold question of whether such inventions qualify for patent protection. In sum, organizations engaging in TDM and similar activities should familiarize themselves with applicable laws and agreements and tailor their practices to comply with them. 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. “Leadership is about people and artificial intelligence is about machines. 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. To progress with artificial intelligence, there are a few things businesses should consider — ethics, privacy and responsible use of artificial intelligence. 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. The study further stated that another 21% of respondents believe that their organisations have no aligned technology infrastructure to support advanced AI. 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. Artificial intelligence (AI), is intelligence demonstrated by machines, unlike the natural intelligence displayed by humans and animals. This written description is intended to advance public knowledge in exchange for granting a monopoly. To make your organisation data-ready, business leaders need to empower their employees with data access as well as train employees with data literacy programs. Many companies still work on silos and therefore lack data readiness, which act as a massive barrier in adopting artificial intelligence. Consequently, when preparing patent applications for AI‑related inventions, organizations should consider the particular circumstances pertaining to the conception and reduction to practice of the inventions in order to identify who should be named as inventor(s). Some options for protection include patent, copyright, trade secret, trademark, and contract, and organizations frequently employ a combination of protections. Therefore companies are relying on emerging technologies like artificial intelligence (AI) and machine learning (ML) to have business continuity amid this crisis. 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. Gregory Discher is Of Counsel and Fredericka Argent and Daniel Rios are associates at the firm. Standardization and best practices are essential to allow for innovation to occur over open standards. AI also has emerged as an important tool for IP development. Identifying inventorship can have important implications for patent ownership. In the U.S., the inventor(s) owns the patent application, absent an agreement or other arrangement to the contrary. Sejuti currently works as Senior Technology Journalist at Analytics India Magazine (AIM). Even hospitals are increasingly promoting themselves to attract audiences. Business leaders should start utilising data to make their day-to-day decision and should also democratise data for their employees to integrate it into their work process. 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 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. 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. Under U.S. law, data is not copyrightable because “facts” are not original works of authorship. However, if the pre-existing AI is widely known or available, a higher level description may suffice. On the other hand, if the same tasks were performed by humans, the costs will be ongoing each month. Many organizations, both public and private, have invested substantial resources in AI research and development (R&D). Specifically, patent applications must identify the inventors. 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. Businesses can change technologies; however, changing culture can be a long process. For S&P 500 companies in 2018, IP and other intangibles represented 84% of company value. Understanding what it is, how it is being used and the difference between what is reality, media hype, science fiction, and futurists’ just speculating, is getting more difficult to ascertain. With businesses busy managing artificial intelligence in automating tasks for their companies, they usually forget to consider the ethical implications of their automation. In fact, in a recent report, it has been stated that 85% of artificial intelligence-based projects fail due to the lack of skilled personnel in the organisations. Practice 2: Focus on Judgment Work Many decisions require insight beyond what artificial intelligence can squeeze from data alone. These and other activities can result in AI outputs, such as new drugs or content, and incremental improvements to AI algorithms, all of which may be valuable IP. In Europe, while a computer program may not be patentable, artificial intelligence and machine learning that serves or achieves a technical purpose may qualify. 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. Image Courtesy of 3XN. I n this article, I will look at how Artificial Intelligence (AI) can help improve cybersecurity practices in an environment of ever-increasing threats and discuss the role of AI in alleviating the perennial talent shortage in the field of cybersecurity. For copyrights, determining authorship, and in turn securing ownership of copyrights in AI-generated works, presents novel questions analogous to those raised in the patent context. To progress with artificial intelligence, there are a few things businesses should consider — ethics, privacy and responsible use of artificial intelligence. If so, patent applications must be prepared to address such criteria and the organization’s objectives. 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. 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. Artificial intelligence (AI) is the capability of a computer to imitate intelligent human behavior. In a recent announcement, Google has shared a few best practices and a framework for the responsible use of AI within their organisation. 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. Alongside leaders should also take this opportunity to upskill their existing employees which will help them fill the gap of skills shortage. 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. 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. All Rights Reserved. To understand the responsible use of artificial intelligence, enterprises need to understand the impact of their automation on the economy. 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. One of the primary reasons for this is the company culture and mentality towards modernisation. Such an approach needs strategic planning, where businesses need to define their objectives and plans that can help the company grow and develop. AI is Enterprises around the world are rapidly incorporating artificial intelligence (AI) into existing and new products and processes.
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