What is Applied AI?
Applied AI refers to the use of artificial intelligence technologies and techniques in practical, real-world situations in order to solve problems and achieve specific goals. It is the application of AI to solve practical problems, rather than just exploring the theoretical possibilities of the technology.
The technology involves the use of machine learning, natural language processing, and other AI technologies to analyze data, make predictions, and perform tasks that would otherwise be too time-consuming or difficult for humans to do. Applied AI has the potential to revolutionize industries and transform the way we live and work, but it also raises important legal, ethical and societal questions that need to be carefully considered.
What are the top 7 legal issues and opportunities associated with Applied AI?
#1: Privacy: The use of AI often involves the collection, storage, and analysis of large amounts of personal data, which can raise concerns about data security and the potential for abuse. Governments and organizations will need to develop appropriate regulations and safeguards to protect individuals’ privacy and ensure the responsible use of AI.
#2: Discrimination: If AI algorithms are not designed and trained properly, they may perpetuate or amplify existing biases and unfairly discriminate against certain groups. This could lead to legal challenges and harm the reputation of the organizations using the AI. It is important for organizations to ensure that their AI systems are fair, transparent, and accountable.
#3: Intellectual property: AI systems may generate new ideas, inventions, or other forms of intellectual property. There may be legal questions about who owns these creations and how they can be used and commercialized.
#4: Liability: If an AI system causes harm or fails to perform as intended, there may be legal questions about who is responsible and how to address the consequences. Organizations using AI will need to consider how to allocate liability and ensure that they are adequately protected.
#5: Employment: The use of AI may lead to the automation of certain tasks, which could potentially lead to job losses or changes in the nature of work. There may be legal questions about the rights and responsibilities of employees and employers in this context.
#6: Consumer protection: AI systems may be used to make recommendations or decisions that affect consumers, such as in the context of online shopping or financial services. Legal questions about the fairness and transparency of these systems and how to protect consumers from potential harm must be analyzed and discussed.
#7: Regulation: Governments and regulatory bodies will need to consider how to regulate the use of AI in various industries and contexts. This could involve setting standards, establishing guidelines, or developing frameworks for oversight and accountability.
Seven resources to learn more about Applied AI
Below are seven resources for learning more about Applied AI. Things are changing quickly so please do your own due diligence. Also please note that these resources are provided subject to the disclaimer and waiver set forth at the beginning of this book.
#1: Coursera: Coursera is an online platform that offers a wide range of courses on applied AI and related topics. https://www.coursera.org/
#2: edX: edX is another online platform that offers courses on applied AI and related fields. https://www.edx.org/
#3: AI Conference: The AI Conference is an annual event that brings together experts and practitioners from a variety of industries to discuss the latest trends and developments in AI. https://aiconference.com/
#4: Kaggle: Kaggle is a platform that hosts data science and machine learning competitions and offers a range of resources for learning about AI, including tutorials, forums, and datasets. https://www.kaggle.com/
#5: Fast.ai: Fast.ai is a non-profit organization that offers free online courses and resources for learning about AI and machine learning. https://www.fast.ai/
#6: Association for Advancement of Artificial Intelligence: this is a nonprofit scientific society devoted to advancing the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines. https://www.aaai.org/
#7: Machine Learning Mastery: Machine Learning Mastery is a blog and online resource that offers a range of tutorials and articles on machine learning and AI. https://machinelearningmastery.com/
I hope you found this short post helpful.
Please reach out with any questions or legal needs.
Mitch Jackson, Esq.
Web | Social: https://linktr.ee/jacksonwilson
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My new book, “From AI to Blockchain: 14 Technology Trends Every Lawyer Must Know!” is a practical guide for lawyers and legal professionals, outlining the most important technology trends that are changing the legal industry. The book is written in a clear and accessible style, and offers practical tips and strategies for lawyers to stay ahead of the curve in the rapidly evolving tech world. https://amzn.to/3kSJh50
