The Convergence of Artificial Intelligence into Vehicle Autonomy
Media courtesy: Justin Timbershake, Stephanie Tahan, Adrian Tapia
Two progressive technologies have dominated the modern computing era: blockchain technology and artificial intelligence. AI devices perform tasks that require seemingly high intelligence, while a blockchain is a decentralized log that stores data in highly encrypted format. With the rapid growth of computing technology, there’s the need to integrate these two into business policy and law. The integration process entails practices that make it easy to regulate unknown technologies. These technologies also come with unforeseen circumstances in both the social and corporate environment. There is the need to create policies and procedures that can anticipate and address these circumstances.
Further, some late adopters have put up a resistance against the adoption of these technologies. The adoption policies need to address this resistance. Finally, adoption into business policy and law should address the role that each technology is going to play. So far, blockchain technology has revolutionized the internet, for storing and encrypting information while keeping it decentralized (Vreeswijk, 2003). Artificial intelligence, while still in its formative stages, has enabled computers to perform human-like tasks using information stored in databases. Integrating Blockchains and AI would mean these two technologies complement each other, enabling great strides in business, technology, and governance among other areas. AI technologies shall, therefore, find use in improving business efficiency while blockchain technology will be used for smart contracts and transactions.
Submission ID: 464540737
Zuoyue Wang, Ph.D. UCSD
History of American Science and Technology
Peter W. Ross, Ph.D. CUNY
Philosophy of Mind, Cognitive Science
NSF Big Data Security and Privacy
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