Machine Learning and Artificial Intelligence Clause Samples
The Machine Learning and Artificial Intelligence clause defines how machine learning (ML) and artificial intelligence (AI) technologies may be used, developed, or integrated within the scope of the agreement. It typically outlines the rights and responsibilities regarding the creation, use, and ownership of AI-generated outputs, as well as any restrictions on data usage for training algorithms. This clause ensures that both parties understand and agree on the permissible uses of AI/ML, helping to prevent disputes over intellectual property, data privacy, and the ethical application of these technologies.
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Machine Learning and Artificial Intelligence. You must not use the Adobe Stock SDKs or APIs or the Adobe Stock Works or any title, caption information, keywords, or other metadata associated with the Adobe Stock Works for any (a) machine learning or artificial intelligence training purposes; or (b) technologies designed or intended for the identification of natural persons.
Machine Learning and Artificial Intelligence. You will not, and will not allow third parties to, use the Adobe Services or Adobe Software (or any content, data, output, or other information received or derived from the Adobe Services or Adobe Software) to directly or indirectly create, train, test, or otherwise improve any machine learning algorithms or artificial intelligence systems, including any architectures, models, or weights, or for any technologies designed or intended for the identification of natural persons.
Machine Learning and Artificial Intelligence. The fact that we are producing more today with less labor than ever before is not a new trend, but one that most experts agree is accelerating, due in no small part to advances in computing, electronics, additive manufacturing, and the relative low cost of these technologies to what they have been in the past. For example, product assembly robotics have been the standard in some industries (automotive, aviation, semiconductor) for decades. Today, this technology has become cost effective for even small manufacturers. Traditionally, we’ve seen productivity gains in overall manufacturing output in the U.S. (and our region) continue to push upwards with just a fraction of jobs required in the past (see chart above). Automation and robotics have played big roles, and will continue, however more structural changes to how work is done will come to other employment sectors such as professional services, hospitality, energy storage, health care, and education via AI (artificial intelligence) and machine learning. And while the convergence of new, often mobile, technology and affordability will create new employment opportunities (for those who have the right training/knowledge/skills), we should expect that entire swaths of employment to be made obsolete at a pace which we’ve not experienced before.