Difference between revisions of "Artificial Intelligence Assistant"

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== History ==
 
== History ==
 
=== Trial and Error: 1960s-1990s ===
 
=== 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. Although this model's capabilities were quite limited, it still marked the beginning of the development of artificial intelligence assistants.
+
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. Although this model's capabilities were quite limited, it still marked the beginning of the development of artificial intelligence assistants.<ref>https://yellow.ai/chatbots/evolution-of-virtual-assistants/</ref>
  
 
=== Gaining Success and Popularity: 2000s-present ===
 
=== Gaining Success and Popularity: 2000s-present ===
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== Platforms and Services ==
 
== Platforms and Services ==
 +
 +
=== Virtual Assistants ===
 +
Some of the most widely known examples are virtual assistants, such as Apple's Siri and Google Assistant. Both Siri and Google Assistant use natural language processing and voice queries to function.
 +
 +
=== Smart Speakers ===
 +
Another category of products that have become very popular in recent years is smart speakers. Amazon Echo, Google Home, and Apple HomePod are all examples of successful smart speakers that implement AI technology to allow for an interactive experience.
 +
 +
=== Chatbots ===
 +
  
 
== Benefits and Societal Impact ==
 
== Benefits and Societal Impact ==
 
Through the advanced technology and functionality of AI assistants, it brings several benefits to society and industries.
 
Through the advanced technology and functionality of AI assistants, it brings several benefits to society and industries.
 +
A major benefit that can evidently be seen is increased productivity, in both personal lives and in organizations. Their ability to predict and automate tasks that would typically be repetitive allows for users to allocate their time in a much more efficient manner. This allows users to focus and spend more of their time completing complex and creative tasks.
 +
 +
Another aspect of AI assistants that typically have a positive outcome is the personalization factor. Through ML and analyzing previous patterns, an AI assistant is able to adapt to the needs of each user. This presents extremely personalized responses, which help to increase user engagement and improv e customer satisfaction.<ref>https://mobidev.biz/blog/ai-virtual-assistant-technology-guide#:~:text=Siri%2C%20Cortana%2C%20and%20Google%20Assistant,developers%20integrate%20into%20their%20applications.</ref> Although this is usually seen as a benefit, if presented in the wrong way it could lead to potential privacy and ethical concerns.
  
 
== Ethical Implications ==
 
== Ethical Implications ==
The use of AI assistants raises a number of ethical concerns.
+
 +
=== Privacy ===
 
A major concern among users 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. Because of their access to personal data such as location, purchasing habits, search history, and communication, it raises the question of how this data is being stored and used. Additionally, the constant surveillance and tracking of users by AI assistants creates concerns about the potential for the erosion of personal privacy and autonomy.  
 
A major concern among users 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. Because of their access to personal data such as location, purchasing habits, search history, and communication, it raises the question of how this data is being stored and used. Additionally, the constant surveillance and tracking of users by AI assistants creates concerns about the potential for the erosion of personal privacy and autonomy.  
  
 +
=== Biases and Discrimination ===
 
Another ethical concern raised by 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. In addition, there is a strong gender bias when it comes to the voices of AI assistants. Alexa, Siri, Cortana, and Google assistant all share one similar feature - the default voices are female. This can reaffirm the social construct and gender bias that women are deemed as subservient, polite, and should be the ones to "assist" others.<ref>https://www.adaptworldwide.com/insights/2021/gender-bias-in-ai-why-voice-assistants-are-female</ref> This poses an issue particularly for those who use AI assistants in a family setting. For children who are growing up using these assistants, they may easily come to a conclusion that females should always be the ones helping and assisting others.
 
Another ethical concern raised by 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. In addition, there is a strong gender bias when it comes to the voices of AI assistants. Alexa, Siri, Cortana, and Google assistant all share one similar feature - the default voices are female. This can reaffirm the social construct and gender bias that women are deemed as subservient, polite, and should be the ones to "assist" others.<ref>https://www.adaptworldwide.com/insights/2021/gender-bias-in-ai-why-voice-assistants-are-female</ref> This poses an issue particularly for those who use AI assistants in a family setting. For children who are growing up using these assistants, they may easily come to a conclusion that females should always be the ones helping and assisting others.
 
DRAFT - 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)
 
  
 
== References ==
 
== References ==

Revision as of 22:19, 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.

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. Although this model's capabilities were quite limited, it still marked the beginning of the development of artificial intelligence assistants.[1]

Gaining Success and Popularity: 2000s-present

As AI research continues to advance, the development of natural language processing (NLP) and machine learning (ML) enabled AI to expand its functionalities. The 21st century marks the emergence of conversational AI, which further led to much more advanced technologies. In the early 2010s, several companies announced their first virtual personal assistants (VPA), such as Apple's Siri, Amazon's Alexa, and Google Assistant. These AI-powered assistants were designed to handle advanced tasks such as answering questions on command and scheduling tasks and appointments. They were also integrated with other smart devices, such as smartphones, speakers, and home devices, making them much more versatile and easily accessible.

In 2023, the use of AI assistants in everyday life has become much more common. New technologies are allowing for the further advancement of AI and AI products. These AI systems include chatbots like ChatGPT from OpenAI, virtual reality systems in the Metaverse, and social media systems in Tiktok and Instagram. ([2])

Functionalities and Methods of Interaction

Platforms and Services

Virtual Assistants

Some of the most widely known examples are virtual assistants, such as Apple's Siri and Google Assistant. Both Siri and Google Assistant use natural language processing and voice queries to function.

Smart Speakers

Another category of products that have become very popular in recent years is smart speakers. Amazon Echo, Google Home, and Apple HomePod are all examples of successful smart speakers that implement AI technology to allow for an interactive experience.

Chatbots

Benefits and Societal Impact

Through the advanced technology and functionality of AI assistants, it brings several benefits to society and industries. A major benefit that can evidently be seen is increased productivity, in both personal lives and in organizations. Their ability to predict and automate tasks that would typically be repetitive allows for users to allocate their time in a much more efficient manner. This allows users to focus and spend more of their time completing complex and creative tasks.

Another aspect of AI assistants that typically have a positive outcome is the personalization factor. Through ML and analyzing previous patterns, an AI assistant is able to adapt to the needs of each user. This presents extremely personalized responses, which help to increase user engagement and improv e customer satisfaction.[3] Although this is usually seen as a benefit, if presented in the wrong way it could lead to potential privacy and ethical concerns.

Ethical Implications

Privacy

A major concern among users 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. Because of their access to personal data such as location, purchasing habits, search history, and communication, it raises the question of how this data is being stored and used. Additionally, the constant surveillance and tracking of users by AI assistants creates concerns about the potential for the erosion of personal privacy and autonomy.

Biases and Discrimination

Another ethical concern raised by 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. In addition, there is a strong gender bias when it comes to the voices of AI assistants. Alexa, Siri, Cortana, and Google assistant all share one similar feature - the default voices are female. This can reaffirm the social construct and gender bias that women are deemed as subservient, polite, and should be the ones to "assist" others.[4] This poses an issue particularly for those who use AI assistants in a family setting. For children who are growing up using these assistants, they may easily come to a conclusion that females should always be the ones helping and assisting others.

References

  1. https://yellow.ai/chatbots/evolution-of-virtual-assistants/
  2. https://www.nytimes.com/2022/12/29/technology/personaltech/new-tech-2023-ai-chat-vr.html
  3. https://mobidev.biz/blog/ai-virtual-assistant-technology-guide#:~:text=Siri%2C%20Cortana%2C%20and%20Google%20Assistant,developers%20integrate%20into%20their%20applications.
  4. https://www.adaptworldwide.com/insights/2021/gender-bias-in-ai-why-voice-assistants-are-female