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. Enterprises, sometimes, also struggle to identify areas of their business where artificial intelligence can be applied to gain benefits. The United States, the European Union, Canada, China and many other countries have developed, or are developing, a national 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. 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. 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. AI and ML are not only transforming the way businesses operate, but also providing a massive opportunity for companies to gain a competitive advantage. Many companies still work on silos and therefore lack data readiness, which act as a massive barrier in adopting artificial intelligence. 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. AI concepts Algorithm. 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. Many organizations, both public and private, have invested substantial resources in AI research and development (R&D). For instance, the European Commission recently issued a communication on “A European strategy for data”. Go to Overview . But the borders are becoming fuzzy. If so, patent applications must be prepared to address such criteria and the organization’s objectives. 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. 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. 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%. Business leaders also need to have a comprehensive approach to the company’s data strategy where they need to understand the importance of data for business relevance as well as its availability, security, and governance. This analysis may be complicated because patents are territorial, and patent subject matter eligibility requirements vary among jurisdictions, particularly for AI‑related inventions. This written description is intended to advance public knowledge in exchange for granting a monopoly. If patent protection seems unfeasible, the organization should consider trade secret or another alternative. 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. 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. With natural language processing, the … 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). Next generation digital technologies like machine learning (ML) and artificial intelligence (AI) are creating a new wave of transformation in Business. 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). Standardization and best practices are essential to allow for innovation to occur over open standards. Keeping excellent communication with your technical team, to understand complex subjects like data science can be beneficial for organisations. To understand the responsible use of artificial intelligence, enterprises need to understand the impact of their automation on the economy. Additionally, organizations continue to invest in developing AI algorithms, software, and data assets. 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. For instance, algorithms often are protected by copyright, trade secret, and contract. We have to anticipate how this is impacting business in order to give us a head start,” said Dean Franz Heukamp. Artificial intelligence (AI) is integral in Alibaba’s daily operations and is used to predict what customers might want to buy. 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. 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. In Europe, while a computer program may not be patentable, artificial intelligence and machine learning that serves or achieves a technical purpose may qualify. 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. 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. 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. 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. 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. Depending upon the circumstances, determining whether the program did the “lion’s share of the work” may be challenging. 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. With businesses busy managing artificial intelligence in automating tasks for their companies, they usually forget to consider the ethical implications of their automation. Being Tony Stark: How To Build A Voice Assistant Of Your Own? Practice 2: Focus on Judgment Work Many decisions require insight beyond what artificial intelligence can squeeze from data alone. Gregory Discher is Of Counsel and Fredericka Argent and Daniel Rios are associates at the firm. Some of the other challenges mentioned were lack of tools, no access to required data etc. 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. Although businesses understand the advantages of artificial intelligence, they fail to create a clear strategy to roll out AI-based projects. 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. Organisations need to create a culture that welcomes AI business models and simultaneously empower people to leverage the abilities of artificial intelligence. 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. On the other hand, if the same tasks were performed by humans, the costs will be ongoing each month. is a medical AI software development company that is committed to making custom artificial intelligence solutions. Artificial intelligence (AI) is no longer a thing of the future — it is here. While the global pandemic has dampened economic growth, focus continues on maximizing AI to address COVID-19 and other important needs. Artificial intelligence (AI) is, in fact, becoming a mainstay component of the legal profession. Contributes To Global Growth. In a recent announcement, Google has shared a few best practices and a framework for the responsible use of AI within their organisation. Sejuti currently works as Senior Technology Journalist at Analytics India…. Such an approach needs strategic planning, where businesses need to define their objectives and plans that can help the company grow and develop. 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. For S&P 500 companies in 2018, IP and other intangibles represented 84% of company value. 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. All Rights Reserved. Organizations also should evaluate the broader legal landscape pertaining to data. Through AI, machines can analyze images, comprehend speech, interact in natural ways, and make predictions using data. Alongside, businesses need to create a common AI vision for their employees to set their priorities accordingly. Industry Voices—AI doesn't have to replace doctors to produce better health outcomes . 5. In artificial intelligent systems, if we want to move toward artificial general intelligence, empathy will be essential. Home > Artificial Intelligence (AI) > 10 Best Practices for Artificial Intelligence Related Intellectual Property. The World Intellectual Property Organization (“WIPO”) has reported similar increases in AI‑related patent filings globally. 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. For example, WIPO, the European Patent Office (“EPO”), the USPTO, the U.S. 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. They are also influencing the larger trends in global sustainability. Artificial Intelligence (AI) and Machine Learning (ML) are already making a big impact on how people work, socialize, and live their lives. This regulation will allow businesses and employees to trust AI-generated insights. 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. Artificial intelligence can also be used in medical marketing to help medical practices effectively compete for patients. Some options for protection include patent, copyright, trade secret, trademark, and contract, and organizations frequently employ a combination of protections. Others use AL and ML to gain real-time monitoring of their supply chain, which in turn, can improve the business bottom line. However, developing a strategy for harnessing this value may face some hurdles as the AI‑IP legal landscape continues to evolve. The dependency on automation has accelerated due to COVID-19 pandemic. 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. In the U.S., authors own the copyright, absent an agreement, work‑for‑hire, or another arrangement to the contrary. Unable to change company culture for modern advancements can only be attributed to resistance to change. Trade secrets typically represent an important part of an organization’s IP portfolio. However, limited copyright protection may be available for how the data is selected, coordinated, or arranged. 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. 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. 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. 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. 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. This effort is not just to improve such offerings and services, but to achieve a qualitatively higher level of capability not possible before. 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. About; 25 Years of Digital; Testimonials; Contact; AI Healthcare Sectors. According to a report, only 26% of businesses have integrated artificial intelligence into their daily business operations, and only 6% of them have made it a primary resource for making business decisions. 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