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<blockquote data-quote="Davey Crockett" data-source="post: 447817" data-attributes="member: 367"><p>I don't know beans about it so I typed in google search '' does AI collect Data ?'' this is what it spit out. </p><p></p><p>Yes, AI systems rely on vast amounts of data to function and improve, and they collect this data from various sources, including the internet, user interactions, and sensor data, often without users' explicit knowledge or consent.</p><p></p><p>Here's a more detailed explanation:</p><ul> <li data-xf-list-type="ul"><strong>Data is the Foundation of AI:</strong> AI algorithms, particularly those used in machine learning, need data to learn, make predictions, and perform tasks.<br /> <br /> </li> <li data-xf-list-type="ul"><strong>Sources of Data:</strong>AI systems can collect data from various sources, including:<ul> <li data-xf-list-type="ul"><strong>The Internet:</strong> AI tools can scrape data from websites, social media, and other online sources.<br /> <br /> </li> <li data-xf-list-type="ul"><strong>User Interactions:</strong> Data from user queries, responses, and actions on apps, websites, and devices can be used to train AI models.<br /> <br /> </li> <li data-xf-list-type="ul"><ul> <li data-xf-list-type="ul"><strong>Sensors and Devices:</strong> Data from sensors, smart devices, and IoT devices can be used to track locations, activities, and other information.</li> <li data-xf-list-type="ul"><strong>Purchased Datasets:</strong> AI companies may also purchase pre-existing datasets from third parties.</li> </ul></li> </ul></li> <li data-xf-list-type="ul"><ul> <li data-xf-list-type="ul"><strong>Examples of AI Data Collection:</strong><ul> <li data-xf-list-type="ul"><ul> <li data-xf-list-type="ul"><strong>Facial Recognition:</strong> AI systems can analyze facial expressions and detect emotions from images and videos.</li> <li data-xf-list-type="ul"><strong>Voice Recognition:</strong> AI can transcribe and understand spoken language, and even generate human-like speech.</li> <li data-xf-list-type="ul"><strong>Social Media Analysis:</strong> AI algorithms can analyze user behavior, interests, and preferences on social media platforms.</li> <li data-xf-list-type="ul"><strong>Predictive Policing:</strong> AI systems can use historical crime data to forecast future criminal activity.</li> </ul></li> </ul></li> <li data-xf-list-type="ul"><strong>Privacy Concerns:</strong> The collection of personal data by AI systems raises privacy concerns, as users may not be aware of the extent or nature of the data being collected.</li> <li data-xf-list-type="ul"><strong>Data Ownership:</strong> While AI systems use vast amounts of data, the ownership of the data typically resides with the entities that collect or generate it.</li> <li data-xf-list-type="ul"><strong>AI-driven data collection tools streamline the process, improve data accuracy, and empower you with real-time insights for informed decision-making</strong> .</li> <li data-xf-list-type="ul"><strong>AI is transforming the field of data collection, enabling organizations to collect, analyze, and use data in previously unthinkable ways</strong> .</li> </ul></li> </ul></blockquote><p></p>
[QUOTE="Davey Crockett, post: 447817, member: 367"] I don't know beans about it so I typed in google search '' does AI collect Data ?'' this is what it spit out. Yes, AI systems rely on vast amounts of data to function and improve, and they collect this data from various sources, including the internet, user interactions, and sensor data, often without users' explicit knowledge or consent. Here's a more detailed explanation: [LIST] [*][B]Data is the Foundation of AI:[/B] AI algorithms, particularly those used in machine learning, need data to learn, make predictions, and perform tasks. [*][B]Sources of Data:[/B]AI systems can collect data from various sources, including: [LIST] [*][B]The Internet:[/B] AI tools can scrape data from websites, social media, and other online sources. [*][B]User Interactions:[/B] Data from user queries, responses, and actions on apps, websites, and devices can be used to train AI models. [*] [LIST] [*][B]Sensors and Devices:[/B] Data from sensors, smart devices, and IoT devices can be used to track locations, activities, and other information. [*][B]Purchased Datasets:[/B] AI companies may also purchase pre-existing datasets from third parties. [/LIST] [/LIST] [*] [LIST] [*][B]Examples of AI Data Collection:[/B] [LIST] [*] [LIST] [*][B]Facial Recognition:[/B] AI systems can analyze facial expressions and detect emotions from images and videos. [*][B]Voice Recognition:[/B] AI can transcribe and understand spoken language, and even generate human-like speech. [*][B]Social Media Analysis:[/B] AI algorithms can analyze user behavior, interests, and preferences on social media platforms. [*][B]Predictive Policing:[/B] AI systems can use historical crime data to forecast future criminal activity. [/LIST] [/LIST] [*][B]Privacy Concerns:[/B] The collection of personal data by AI systems raises privacy concerns, as users may not be aware of the extent or nature of the data being collected. [*][B]Data Ownership:[/B] While AI systems use vast amounts of data, the ownership of the data typically resides with the entities that collect or generate it. [*][B]AI-driven data collection tools streamline the process, improve data accuracy, and empower you with real-time insights for informed decision-making[/B] . [*][B]AI is transforming the field of data collection, enabling organizations to collect, analyze, and use data in previously unthinkable ways[/B] . [/LIST] [/LIST] [/QUOTE]
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