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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 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 ...
The Pan-Canadian Artificial Intelligence Strategy (2017) is supported by federal funding of Can $125 million with the objectives of increasing the number of outstanding AI researchers and skilled graduates in Canada, establishing nodes of scientific excellence at the three major AI centres, developing 'global thought leadership' on the economic ...
AI has plenty of technical shortcomings that we may be able to fix over time. But as we're learning, AI is also a reflection of the society that creates it—and that's a much harder fix.
In 2004, thirty-one privacy and civil liberties organizations wrote a letter calling upon Google to suspend its Gmail service until the privacy issues were adequately addressed. [35] The letter also called upon Google to clarify its written information policies regarding data retention and data sharing among its business units. The ...
Criticism of Google includes concern for tax avoidance, misuse and manipulation of search results, its use of others' intellectual property, concerns that its compilation of data may violate people's privacy and collaboration with the US military on Google Earth to spy on users, [1] censorship of search results and content, its cooperation with the Israeli military on Project Nimbus targeting ...
The ethics of artificial intelligence covers a broad range of topics within the field that are considered to have particular ethical stakes. [1] This includes algorithmic biases, fairness, [2] automated decision-making, accountability, privacy, and regulation.
Examples of existing privacy enhancing technologies are: General PET building blocks: Obfuscation refers to the many practices of adding distracting or misleading data to a log or profile, which may be especially useful for frustrating precision analytics after data has already been lost or disclosed.