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AI safety is an interdisciplinary field focused on preventing accidents, misuse, or other harmful consequences arising from artificial intelligence (AI) systems. It encompasses machine ethics and AI alignment, which aim to ensure AI systems are moral and beneficial, as well as monitoring AI systems for risks and enhancing their reliability.
The research shows DBRX Instruct—a Databricks product—consistently performed the worst by all metrics, TeamAI reports. For example, AIR-Bench scrutinized an AI model's safety refusal rate.
Artificial intelligence has transformed the digital marketing landscape by allowing businesses to capture large amounts of consumer data, leading to data-driven marketing strategies. Businesses like Amazon can utilize user’s purchase, search, and viewing history on their platforms, to create customized user experiences.
The Artificial Intelligence Initiative Act (S.1558) is a proposed bill that would establish a federal initiative designed to accelerate research and development on AI for, inter alia, the economic and national security of the United States. [158] [159]
Concern over risk from artificial intelligence has led to some high-profile donations and investments. In 2015, Peter Thiel, Amazon Web Services, and Musk and others jointly committed $1 billion to OpenAI, consisting of a for-profit corporation and the nonprofit parent company, which says it aims to champion responsible AI development. [126]
The fields of marketing and artificial intelligence converge in systems which assist in areas such as market forecasting, and automation of processes and decision making, along with increased efficiency of tasks which would usually be performed by humans. The science behind these systems can be explained through neural networks and expert ...
Product research — This looks at what products can be produced with available technology, and what new product innovations near-future technology can develop (see new product development). Advertising research – is a specialized form of marketing research conducted to improve the efficacy of advertising.
Managing these extreme technological risks is an urgent task - but one that poses particular difficulties and has been comparatively neglected in academia. [3] CSER researchers developed a widely used tool to automatically scan the scientific literature for new research relevant to global risk. [4]