Difference between revisions of "Artificial Intelligence Assistant"
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Artificial intelligence assistants are comprised of a software program or system that aims to mimic human intelligence and perform daily tasks that typically would require human-level cognition. These AI-powered assistants are capable of learning from user interactions, adapting to new situations, and pulling context and data from user's metadata. By analyzing the user's previous patterns of interaction, it allows for personalized responses catered to the user's needs. These assistants rely on technologies like NLP (natural language processing), ML (machine learning), and data science to be able to provide accurate data and perform tasks correctly. They are able to take on a wide variety of tasks, such as answering basic questions, scheduling appointments and alarms, and controlling smart home devices. Because of the increasing versatility and capabilities of AI-powered assistants, they are rapidly growing in the market and becoming more prevalent in the day to day lives of many. Artificial intelligence assistants are commonly implemented and categorized into chatbots, virtual personal assistants, conversational agents, and intelligent home devices. | Artificial intelligence assistants are comprised of a software program or system that aims to mimic human intelligence and perform daily tasks that typically would require human-level cognition. These AI-powered assistants are capable of learning from user interactions, adapting to new situations, and pulling context and data from user's metadata. By analyzing the user's previous patterns of interaction, it allows for personalized responses catered to the user's needs. These assistants rely on technologies like NLP (natural language processing), ML (machine learning), and data science to be able to provide accurate data and perform tasks correctly. They are able to take on a wide variety of tasks, such as answering basic questions, scheduling appointments and alarms, and controlling smart home devices. Because of the increasing versatility and capabilities of AI-powered assistants, they are rapidly growing in the market and becoming more prevalent in the day to day lives of many. Artificial intelligence assistants are commonly implemented and categorized into chatbots, virtual personal assistants, conversational agents, and intelligent home devices. | ||
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| + | COLLABORATE EXERCISE ADDITION: | ||
| + | In 2023, the use of AI assistants in everyday life has become much more common. These AI systems include chatbots like ChatGPT from OpenAI, virtual reality systems in the Metaverse, and social media systems in Tiktok and Instagram. (https://www.nytimes.com/2022/12/29/technology/personaltech/new-tech-2023-ai-chat-vr.html) | ||
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| + | The use of AI assistants raises a number of ethical concerns. | ||
| + | One concern is the level of trust that exists between a user and an AI assistant. Functionality and social emotions have a significant effect on trust, where perceived humanity showed an inverted U relationship on trust, and trust mediated the relationship between both functionality and social emotions and acceptance. (https://www.frontiersin.org/articles/10.3389/fpsyg.2021.728495/full) | ||
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| + | One of the main concerns is privacy. As these assistants are designed to collect and store a large amount of personal information, there is a risk that this information could be accessed or misused by unauthorized parties. Additionally, the constant surveillance and tracking of users by AI assistants raises concerns about the potential for the erosion of personal privacy and autonomy. | ||
| + | Another ethical concern related to AI assistants is their potential to perpetuate biases and discrimination. As AI assistants are often trained on data sets that reflect the biases of their creators, there is a risk that they will perpetuate these biases in their responses and recommendations. This can have a particularly harmful impact on marginalized groups, such as people of color and members of the LGBTQ+ community. | ||
== History == | == History == | ||
Revision as of 18:47, 26 January 2023
Artificial intelligence assistants are comprised of a software program or system that aims to mimic human intelligence and perform daily tasks that typically would require human-level cognition. These AI-powered assistants are capable of learning from user interactions, adapting to new situations, and pulling context and data from user's metadata. By analyzing the user's previous patterns of interaction, it allows for personalized responses catered to the user's needs. These assistants rely on technologies like NLP (natural language processing), ML (machine learning), and data science to be able to provide accurate data and perform tasks correctly. They are able to take on a wide variety of tasks, such as answering basic questions, scheduling appointments and alarms, and controlling smart home devices. Because of the increasing versatility and capabilities of AI-powered assistants, they are rapidly growing in the market and becoming more prevalent in the day to day lives of many. Artificial intelligence assistants are commonly implemented and categorized into chatbots, virtual personal assistants, conversational agents, and intelligent home devices.
COLLABORATE EXERCISE ADDITION: In 2023, the use of AI assistants in everyday life has become much more common. These AI systems include chatbots like ChatGPT from OpenAI, virtual reality systems in the Metaverse, and social media systems in Tiktok and Instagram. (https://www.nytimes.com/2022/12/29/technology/personaltech/new-tech-2023-ai-chat-vr.html)
The use of AI assistants raises a number of ethical concerns. One concern is the level of trust that exists between a user and an AI assistant. Functionality and social emotions have a significant effect on trust, where perceived humanity showed an inverted U relationship on trust, and trust mediated the relationship between both functionality and social emotions and acceptance. (https://www.frontiersin.org/articles/10.3389/fpsyg.2021.728495/full)
One of the main concerns is privacy. As these assistants are designed to collect and store a large amount of personal information, there is a risk that this information could be accessed or misused by unauthorized parties. Additionally, the constant surveillance and tracking of users by AI assistants raises concerns about the potential for the erosion of personal privacy and autonomy. Another ethical concern related to AI assistants is their potential to perpetuate biases and discrimination. As AI assistants are often trained on data sets that reflect the biases of their creators, there is a risk that they will perpetuate these biases in their responses and recommendations. This can have a particularly harmful impact on marginalized groups, such as people of color and members of the LGBTQ+ community.
Contents
History
Trial and Error: 1960s-1990s
The history of artificial intelligence assistants traces back to the 1960s, where the first ever chatbot, ELIZA, was developed by MIT professor and researcher Joseph Weizenbaum. ELIZA worked on pattern matching and had scripted responses that were given when faced with a problem statement. Weizenbaum designed ELIZA to simulate a therapist, such that it accepts user's questions and statements, and returns a response.
