THE END IS NEAR: AI WILL REPLACE YOU

THE END IS NEAR

 AI WILL REPLACE YOU 

Attention all humans! The end is near, and it's not because of a natural disaster or an alien invasion. No, it's because artificial intelligence (AI) is poised to take over the world and replace us all. And the first victim of this AI takeover? Public education as we know it.

Yes, my dear human friends, the days of traditional classrooms, chalkboards, and human teachers are numbered. Soon, AI will be the one calling the shots in education, and we'll all be left scratching our heads wondering what just happened.

But before you panic and start hoarding canned goods and ammunition, let's take a closer look at what AI can and cannot do in education.

On the one hand, AI can enhance education by providing personalized feedback, automating grading, and offering adaptive learning materials. On the other hand, AI cannot replace the value of human interaction, the development of essential skills, and the role of teachers in guiding students and fostering a sense of community.

Sure, AI can automate certain tasks, but can it really replace the role of a teacher in facilitating discussions and fostering a sense of community? Can it really replace the value of traditional subjects like English writing, mathematics, and art? I think not.

And let's not forget about the potential risks and challenges of using AI in education. For one thing, AI may not be able to provide the same level of human and emotional support that students need from their teachers and peers. It may also require technical expertise and training for teachers, which not all educators may have.

Furthermore, AI-powered tools and platforms may be expensive to acquire, maintain, and update, creating a digital divide between developed and developing countries. And let's not forget about the potential privacy and ethical issues of data collection and use.

But hey, let's not get too bogged down in the details. After all, who needs human teachers when you can have personalized ChatGPT-style tutors powered by AI? According to one expert, these tutors could deliver tailored support to every child in the world with a smartphone. Who needs social interaction when you can have an algorithm telling you what to do?

But wait, there's more! AI is already being used in education in various ways. Language learning apps like Duolingo and Rosetta Stone use natural language processing and speech recognition to help learners acquire new languages. Math learning platforms like ALEKS and Carnegie Learning use data and algorithms to provide adaptive assessments and personalized learning plans for math students. And plagiarism detection tools like Turnitin and Grammarly use machine learning to detect plagiarism and grammatical errors in students' writing.

But why stop there? Let's use AI to monitor students' behavior during online exams with facial recognition, eye tracking, and keystroke analysis. Let's use AI-powered chatbots to provide information, guidance, and support for prospective and current students. Let's even use AI to transcribe faculty lectures into text!

The possibilities are endless, my friends. And who cares about the potential risks and challenges? Let's just forge ahead blindly into a future where AI rules all.

But wait...what about the potential unemployment of teachers and educational staff? What about the gap between developed and developing countries in terms of infrastructure and access? What about the gender and economic inequalities in education?

Oh right, those pesky little details again.

But fear not, humans! We can still use AI for good. We can use it to improve accessibility for students with disabilities, to provide personalization and differentiation for all learners, to enhance collaboration and inclusion among diverse groups, and to expand opportunities and empowerment for those with limited resources or support.

So let's not give up on education just yet. Let's not surrender to the AI overlords without a fight. Let's embrace technology as a complementary tool that enhances teaching rather than a replacement for human educators.

And who knows? Maybe one day we'll look back on this moment in history as a funny little blip on the radar of education. Or maybe we'll all be living in a dystopian future ruled by our robot overlords.

Either way, it should be a good laugh.

AI likely to spell end of traditional school classroom, leading expert says https://www.theguardian.com/technology/2023/jul/07/ai-likely-to-spell-end-of-traditional-school-classroom-leading-expert-says?CMP=share_btn_tw 

THE DEFT DIVE

AI is a powerful technology that can enhance education in many ways, such as providing personalized feedback, automating grading, and offering adaptive learning materials. However, AI cannot replace the value of human interaction, the development of essential skills, and the role of teachers in guiding students and fostering a sense of community. Here are some points to consider:

• - Technology and AI can be used to enhance education and make it more accessible and effective, but they cannot replace the value of human interaction and the development of essential skills. While AI has made significant progress in various areas, it cannot fully replace the need for traditional subjects like English writing, mathematics, and art¹.
• - AI offers the promise of revolutionizing traditional teaching methods and enhancing the learning experience for students. At the rate AI is being accelerated into society, it could eventually replace a large group of traditional schoolteachers, and with historically low test schools in many large metropolitan school districts parents may welcome an alternative to the traditional teaching model².
• - Great teachers remain the cornerstone of effective learning. AI should be seen as a complementary tool that enhances teaching rather than a replacement for human educators. While AI can automate certain tasks, the role of teachers in guiding students, facilitating discussions, and fostering a sense of community remains irreplaceable³.
• - AI is not replacing the human aspect of teaching per se. On the contrary, it is becoming quite a useful counterpart of the teaching profession. AI can help teachers with administrative tasks, data analysis, and personalized instruction. AI can also help students with self-paced learning, feedback, and remediation⁴.

Bing, 7/7/2023

(1) Can AI Replace Traditional Education - Thinking In Educating. https://www.thinkingineducating.com/can-ai-replace-traditional-education/.

(2) Opinion: AI Can Help Educate Our Kids Now, and it May Also Replace .... https://timesofsandiego.com/opinion/2023/05/27/ai-can-help-educate-our-kids-but-it-may-also-replace-teachers/.

(3) AI Will Transform Teaching and Learning. Let’s Get it Right.. https://hai.stanford.edu/news/ai-will-transform-teaching-and-learning-lets-get-it-right.

(4) Is artificial intelligence replacing traditional methods of teaching?. https://www.getmagicbox.com/blog/artificial-intelligence-replacing-traditional-methods-teaching/.

AI in education is a broad field that encompasses many applications and use cases. Here are some examples of how AI is currently being used in education:

• - **Language learning apps**: AI-powered apps like Duolingo and Rosetta Stone use natural language processing and speech recognition to help learners acquire new languages. They also use AI to personalize lessons, provide feedback, and track progress¹.
• - **Math learning platforms**: AI-powered platforms like ALEKS and Carnegie Learning use data and algorithms to provide adaptive assessments and personalized learning plans for math students. They also use AI to offer hints, explanations, and remediation²³.
• - **Plagiarism detection**: AI-powered tools like Turnitin and Grammarly use natural language processing and machine learning to detect plagiarism and grammatical errors in students' writing. They also provide feedback and suggestions for improvement⁴.
• - **Exam integrity**: AI-powered tools like Proctorio and Examity use facial recognition, eye tracking, and keystroke analysis to monitor students' behavior during online exams. They also flag suspicious activities and generate reports for instructors⁴.
• - **Chatbots for enrollment and retention**: AI-powered chatbots like AdmitHub and Ivy.ai use natural language processing and machine learning to provide information, guidance, and support for prospective and current students. They also use AI to analyze student data and identify at-risk students⁴.
• - **Learning management systems**: AI-powered learning management systems like Blackboard and Canvas use data and algorithms to organize, deliver, and manage online courses. They also use AI to provide analytics, recommendations, and feedback for instructors and students⁴.
• - **Transcription of faculty lectures**: AI-powered tools like Otter.ai and Trint use speech recognition and natural language processing to transcribe faculty lectures into text. They also use AI to generate summaries, keywords, and timestamps⁴.
• - **Enhanced online discussion boards**: AI-powered tools like Packback and Yellowdig use natural language processing and machine learning to facilitate online discussions among students. They also use AI to moderate content, generate questions, and reward participation⁴.
• - **Analyzing student success metrics**: AI-powered tools like Civitas Learning and EAB use data and algorithms to analyze student success metrics such as retention, graduation, and career outcomes. They also use AI to provide insights, predictions, and interventions for students and educators⁴.

Bing, 7/7/2023

(1) 43 Examples of Artificial Intelligence in Education. https://onlinedegrees.sandiego.edu/artificial-intelligence-education/.

(2) Artificial intelligence in education | UNESCO. https://www.unesco.org/en/digital-education/artificial-intelligence.

(3) Artificial Intelligence (AI) in education: Impact & Examples - QuestionPro. https://www.questionpro.com/blog/ai-in-education/.

(4) Artificial Intelligence In Education: Examples - Dataconomy. https://dataconomy.com/2023/02/03/artificial-intelligence-in-education/.

AI in education also poses many challenges and risks that need to be addressed carefully and ethically. Here are some of the main challenges of using AI in education:

• - **The lack of human and emotional support for students**: AI-powered tools and platforms may not be able to provide the same level of human and emotional support that students need from their teachers and peers. AI may not be able to understand the nuances of human communication, emotions, and culture, or to foster social and emotional skills, creativity, and critical thinking¹.
• - **The need for technical expertise and training for teachers**: Teachers may not have the necessary technical expertise and training to use AI effectively and responsibly in their classrooms. They may also face difficulties in integrating AI with their existing pedagogical practices and curricula. Teachers may need to learn new digital skills to use AI in a meaningful way and to monitor its impact on student learning².
• - **The cost of AI tools and applications**: AI-powered tools and applications may be expensive to acquire, maintain, and update. They may also require advanced infrastructure and connectivity that may not be available or affordable in some contexts. The cost of AI may create or widen the digital divide between developed and developing countries, as well as between urban and rural areas².
• - **The privacy and ethical issues of data collection and use**: AI-powered tools and platforms rely on large amounts of data to function and improve. However, this data may contain sensitive and personal information about students, teachers, and schools that may be vulnerable to misuse, abuse, or hacking. There may also be ethical issues regarding the ownership, consent, transparency, and accountability of data collection and use²³.
• - **The risk of technology addiction and reduced social skills**: AI-powered tools and platforms may create a dependency on technology that may affect students' attention span, motivation, and self-regulation. They may also reduce the opportunities for social interaction and collaboration that are essential for learning and development. Students may lose the ability or interest to communicate with other human beings or to engage in offline activities¹.
• - **The potential unemployment of teachers and educational staff**: AI-powered tools and platforms may replace some of the tasks or roles of teachers and educational staff, such as delivering content, grading assignments, or providing feedback. This may lead to unemployment or underemployment of these professionals, or to a loss of their autonomy, dignity, or identity¹.
• - **The gap between developed and developing countries in terms of infrastructure and access**: AI-powered tools and platforms may require advanced infrastructure and access that may not be available or affordable in some countries or regions. This may create or widen the gap between developed and developing countries in terms of educational quality, equity, and opportunity².
• - **The gender and economic inequalities in education**: AI-powered tools and platforms may reflect or reinforce the existing gender and economic inequalities in education. For example, AI may not be inclusive or representative of the diversity of learners in terms of their gender, culture, language, or background. AI may also favor those who have more resources or access to technology over those who do not².

Bing, 7/7/2023

(1) AI In The Classroom: Pros, Cons And The Role Of EdTech Companies - Forbes. https://www.forbes.com/sites/theyec/2023/02/21/ai-in-the-classroom-pros-cons-and-the-role-of-edtech-companies/.

(2) The challenges and opportunities of Artificial Intelligence in education. https://www.unesco.org/en/articles/challenges-and-opportunities-artificial-intelligence-education.

(3) Artificial intelligence in education | UNESCO. https://www.unesco.org/en/digital-education/artificial-intelligence.

(4) Artificial Intelligence (AI) in education: Impact & Examples - QuestionPro. https://www.questionpro.com/blog/ai-in-education/.

(5) What Challenges In Education Can AI Solve Today? - Forbes. https://www.forbes.com/sites/forbestechcouncil/2021/12/14/what-challenges-in-education-can-ai-solve-today/.

Yes, AI can help students with disabilities in various ways, such as:

• - **Improving accessibility in testing**: AI can use advanced speech synthesis technologies to provide high-quality text-to-speech voice for students who have visual impairments or reading difficulties. AI can also use natural language processing and machine learning to generate alternative formats of test content, such as images, graphs, or diagrams¹.
• - **Providing content descriptions and webpage interactions**: AI can use computer vision and natural language processing to automatically describe images, videos, or other visual content for students who have visual impairments. AI can also use speech recognition and natural language processing to enable students to interact with webpages through voice commands or questions²³.
• - **Automating tasks that require human intelligence**: AI can use various techniques such as speech and voice recognition, visual perception, and decision-making to automate tasks that may be challenging for students with disabilities. For example, AI can help students with hearing impairments to transcribe audio into text, or students with dyslexia to correct spelling and grammar errors²⁴.
• - **Pinpointing what methods of instruction will work best with any student and any disability**: AI can use data and algorithms to analyze the learning styles, preferences, and needs of each student, and to provide personalized feedback and instruction. AI can also use data and algorithms to identify hidden learning disabilities and to give reliable feedback²⁵.

Bing, 7/7/2023

(1) 3 Ways AI Can Help Students with Disabilities - EDUCAUSE. https://er.educause.edu/articles/2022/6/3-ways-ai-can-help-students-with-disabilities.

(2) Reimagining the Future of Accessible Education with AI. https://blogs.microsoft.com/accessibility/ai4aedugrants2021/.

(3) AI-Augmented Learning for Individuals with Disabilities: New Funding .... https://ies.ed.gov/blogs/research/post/ai-augmented-learning-for-individuals-with-disabilities-new-funding-opportunity-current-research-and-the-potential-for-improving-student-outcomes.

(4) Using Artificial Intelligence to Help Students with Learning .... https://www.thetechedvocate.org/using-artificial-intelligence-help-students-learning-disabilities-learn/.

(5) How Can Teachers Use AI to Help Students with Learning Disabilities .... https://alicebot.org/how-can-teachers-use-ai-to-help-students-with-learning-disabilities/.

Using AI to help students with disabilities also comes with some challenges, such as:

• - **The quality and availability of data**: AI relies on large and diverse datasets to function and improve. However, data on students with disabilities may be scarce, incomplete, or inaccurate. Data may also not reflect the diversity of students' needs, abilities, and backgrounds. Moreover, data may not be available or accessible to researchers or developers due to privacy or ethical issues¹.
• - **The bias and fairness of AI**: AI may inherit or amplify the existing biases and discrimination in education. For example, AI may not be inclusive or representative of the diversity of students with disabilities in terms of their gender, culture, language, or background. AI may also favor those who have more resources or access to technology over those who do not. Moreover, AI may not be transparent or accountable for its decisions or actions¹².
• - **The usability and accessibility of AI**: AI may not be user-friendly or accessible for students with disabilities. For example, AI may not have intuitive or adaptive interfaces that suit the preferences and needs of different users. AI may also not have clear or consistent instructions or feedback that help users understand how to use it effectively. Moreover, AI may not have robust or reliable performance that meets the expectations and goals of users¹³.
• - **The integration and evaluation of AI**: AI may not be integrated or evaluated effectively in educational settings. For example, AI may not align with the existing curricula, standards, or pedagogies that guide teaching and learning. AI may also not have sufficient evidence or support to demonstrate its effectiveness, efficiency, or impact on student outcomes. Moreover, AI may not have adequate monitoring or assessment mechanisms that ensure its quality, safety, or ethics¹⁴.

Bing, 7/7/2023

(1) 3 Ways AI Can Help Students with Disabilities - EDUCAUSE. https://er.educause.edu/articles/2022/6/3-ways-ai-can-help-students-with-disabilities.

(2) AI-Augmented Learning for Individuals with Disabilities: New Funding .... https://ies.ed.gov/blogs/research/post/ai-augmented-learning-for-individuals-with-disabilities-new-funding-opportunity-current-research-and-the-potential-for-improving-student-outcomes.

(3) Using Artificial Intelligence to Help Students with Learning .... https://www.thetechedvocate.org/using-artificial-intelligence-help-students-learning-disabilities-learn/.

(4) 7 Ways That Artificial Intelligence Helps Students Learn. https://www.theedadvocate.org/7-ways-that-artificial-intelligence-helps-students-learn/.

AI can be a powerful tool for improving education, but it can also create or exacerbate inequalities between rich and poor students. Here are some of the challenges and opportunities of using AI for education access and equity:

• - **The digital divide**: AI requires advanced infrastructure and connectivity that may not be available or affordable in some contexts. This may create or widen the gap between rich and poor students in terms of educational quality, equity, and opportunity. For example, students in rural areas or developing countries may not have access to reliable internet, devices, or electricity to use AI-powered tools and platforms. Moreover, students from low-income families may not be able to afford the cost of AI applications or services¹.
• - **The data divide**: AI relies on large and diverse datasets to function and improve. However, data on students may not reflect the diversity of their needs, abilities, and backgrounds. For example, students from minority groups, indigenous communities, or marginalized populations may not be represented or included in the data that is used to train or evaluate AI systems. Moreover, students from low-income families may not have access to the data that is used to personalize or enhance their learning².
• - **The skills divide**: AI may require new digital skills and competencies that may not be taught or learned in some contexts. This may create or widen the gap between rich and poor students in terms of their readiness and ability to use AI effectively and responsibly. For example, students in under-resourced schools or regions may not have access to quality education or training that prepares them for the AI-driven economy. Moreover, students from low-income families may not have access to the resources or support that helps them develop their digital literacy or critical thinking².
• - **The opportunity divide**: AI may create new opportunities and challenges for education and employment that may not be accessible or fair for some students. This may create or widen the gap between rich and poor students in terms of their outcomes and prospects. For example, students in affluent schools or regions may have access to more AI-powered tools and platforms that enhance their learning and career development. Moreover, students from high-income families may have access to more AI-related jobs or industries that offer higher wages or benefits².

However, AI can also be used to address these challenges and promote access and equity for all students. Here are some of the ways that AI can help:

• - **Improving accessibility and affordability**: AI can use various techniques such as speech synthesis, natural language processing, computer vision, and machine learning to provide accessible and affordable learning materials and experiences for students who face barriers due to distance, disability, language, or cost. For example, AI can help students with visual impairments to access text-to-speech voice or image descriptions, or students with hearing impairments to access speech-to-text transcription or sign language translation³.
• - **Providing personalization and differentiation**: AI can use data and algorithms to analyze the learning styles, preferences, and needs of each student, and to provide personalized feedback and instruction. AI can also use data and algorithms to differentiate the learning content, pace, and level for each student according to their abilities and goals. For example, AI can help students with learning difficulties to access adaptive assessments or remediation, or students with giftedness to access enrichment or acceleration³.
• - **Enhancing collaboration and inclusion**: AI can use various techniques such as natural language processing, speech recognition, and machine learning to facilitate collaboration and inclusion among students who have diverse backgrounds, cultures, languages, or perspectives. For example, AI can help students with different languages to communicate through translation or interpretation, or students with different cultures to understand through explanation or mediation³.
• - **Expanding opportunities and empowerment**: AI can use various techniques such as natural language processing, computer vision, and machine learning to expand opportunities and empowerment for students who have limited resources, access, or support. For example, AI can help students with low-income families to access scholarships or financial aid, or students with under-resourced schools to access mentors or tutors³.

Bing, 7/7/2023

(1) AI is making inequality worse | MIT Technology Review. https://www.technologyreview.com/2022/04/19/1049378/ai-inequality-problem/.

(2) How can AI support diversity, equity and inclusion?. https://www.weforum.org/agenda/2022/03/ai-support-diversity-equity-inclusion/.

(3) How Student-Led Initiatives Are Expanding Access and Equity in AI .... https://www.engineering.columbia.edu/news/how-student-led-initiatives-are-expanding-access-and-equity-ai.

AI is a complex and evolving technology that has many stakeholders and actors involved in its development, deployment, and governance. There is no simple or definitive answer to the question of who are the owners and controllers of AI, but here are some of the possible perspectives:

• - **The developers and researchers of AI**: These are the individuals and organizations that create, design, and improve AI systems, models, and algorithms. They may own or control the intellectual property rights, such as patents or copyrights, of their AI creations. They may also have the responsibility or accountability for ensuring the quality, safety, or ethics of their AI products or services¹.
• - **The providers and platforms of AI**: These are the individuals and organizations that offer, distribute, or host AI products or services, such as cloud computing, software as a service, or application programming interfaces. They may own or control the access, availability, or pricing of their AI offerings. They may also have the responsibility or accountability for ensuring the security, privacy, or compliance of their AI products or services².
• - **The users and consumers of AI**: These are the individuals and organizations that use, consume, or benefit from AI products or services, such as customers, employees, students, or citizens. They may own or control the data, feedback, or preferences that they provide to or receive from AI systems. They may also have the responsibility or accountability for ensuring the effectiveness, efficiency, or impact of their AI usage or consumption³.
• - **The regulators and policymakers of AI**: These are the individuals and organizations that regulate, oversee, or influence AI products or services, such as governments, agencies, standards bodies, or advocacy groups. They may own or control the rules, laws, or guidelines that apply to or affect AI systems. They may also have the responsibility or accountability for ensuring the fairness, transparency, or accountability of AI products or services⁴.

Bing, 7/7/2023

(1) Four Skills Every Successful AI Product Owner Should Possess - Forbes. https://www.forbes.com/sites/forbestechcouncil/2021/08/24/four-skills-every-successful-ai-product-owner-should-possess/.

(2) Generative AI: What Is It, Tools, Models, Applications and ... - Gartner. https://www.gartner.com/en/topics/generative-ai.

(3) AAIController | Unreal Engine Documentation. https://docs.unrealengine.com/en-US/API/Runtime/AIModule/AAIController/index.html.

(4) Leading owners of machine learning & AI patents 2013-2022 - Statista. https://www.statista.com/statistics/1032627/worldwide-machine-learning-and-ai-patent-owners-trend/.

AI is a powerful and transformative technology that has the potential to change democracy in profound ways. Here are some of the possible impacts and implications of AI for democracy:

• - **AI and the public sphere**: AI can affect the quality and diversity of information, communication, and deliberation in the public sphere. AI can enable new forms of participation, engagement, and expression for citizens, such as online platforms, chatbots, or digital assistants. AI can also enhance the transparency, accountability, and responsiveness of public institutions, such as governments, media, or civil society. However, AI can also pose threats to the public sphere, such as misinformation, disinformation, or manipulation. AI can generate or amplify false, misleading, or biased content, such as deepfakes, fake news, or propaganda. AI can also influence or interfere with public opinion, behavior, or elections, such as through social media bots, microtargeting, or cyberattacks¹².
• - **AI and election campaigns**: AI can affect the strategies and outcomes of election campaigns. AI can enable new ways of reaching and mobilizing voters, such as personalized messages, interactive platforms, or predictive analytics. AI can also enable new ways of monitoring and evaluating campaigns, such as sentiment analysis, opinion polls, or fact-checking. However, AI can also pose challenges to election campaigns, such as privacy, fairness, or security. AI can collect or exploit personal data of voters without their consent or awareness. AI can also create or exacerbate inequalities or biases among candidates or parties. AI can also compromise or sabotage the integrity or reliability of election systems³⁴.
• - **AI and public services**: AI can affect the delivery and quality of public services. AI can enable new ways of providing and accessing public services, such as automation, optimization, or personalization. AI can also enable new ways of improving and innovating public services, such as learning, adaptation, or collaboration. However, AI can also pose risks to public services, such as discrimination, exclusion, or error. AI can produce or reproduce unfair or harmful outcomes for certain groups or individuals based on their data or characteristics. AI can also exclude or marginalize some groups or individuals from public services due to their lack of access or skills. AI can also make mistakes or failures that may have serious consequences for public services⁵ .

Bing, 7/7/2023

(1) Artificial Intelligence and Democracy - Heinrich-Böll-Stiftung. https://il.boell.org/en/2022/01/06/artificial-intelligence-and-democracy.

(2) Why AI is a threat to democracy—and what we can do to stop it. https://www.technologyreview.com/2019/02/26/66043/why-ai-is-a-threat-to-democracyand-what-we-can-do-to-stop-it/.

(3) The Future of Democracy in the AI Era - Areo. https://areomagazine.com/2019/10/03/the-future-of-democracy-in-the-ai-era/.

(4) Artificial Intelligence and Democracy - London School of Economics and .... https://www.lse.ac.uk/Events/2022/05/202205231800/democracy.

(5) About AI & Democracy | Collections | F1000Research. https://f1000research.com/collections/aianddemocracy/about-this-collection.

AI does not inherently lend itself to fascism and oligarchy, but it can be used or abused by those who seek to establish or maintain such systems of government. Here are some of the possible ways that AI can be related to fascism and oligarchy:

• - **AI and fascism**: Fascism is a form of government characterized by a strong central rule that attempts to control and direct all aspects of individual life through coercion and repression. AI can be used by fascists to enhance their power and suppress their opponents. For example, AI can be used to monitor, manipulate, or censor the public sphere, such as through surveillance, propaganda, or disinformation. AI can also be used to target, discriminate, or persecute certain groups or individuals, such as through profiling, tracking, or violence¹².
• - **AI and oligarchy**: Oligarchy is a form of government characterized by a small group of people that have a disproportionate amount of wealth, power, or influence. AI can be used by oligarchs to consolidate their dominance and exploit their resources. For example, AI can be used to optimize their profits and interests, such as through automation, optimization, or personalization. AI can also be used to influence or interfere with the political system, such as through lobbying, campaigning, or hacking³.

However, AI can also be used to resist or challenge fascism and oligarchy. Here are some of the possible ways that AI can be related to democracy and equality:

• - **AI and democracy**: Democracy is a form of government characterized by the participation and representation of the people in the decision-making process. AI can be used by democrats to enhance their rights and responsibilities. For example, AI can be used to facilitate and improve the public sphere, such as through education, deliberation, or fact-checking. AI can also be used to enable and empower the political system, such as through voting, accountability, or transparency .
• - **AI and equality**: Equality is a principle that asserts that all people are entitled to fair and equal treatment and opportunities. AI can be used by egalitarians to promote and protect their dignity and diversity. For example, AI can be used to reduce or eliminate bias and discrimination, such as through fairness, inclusion, or justice. AI can also be used to expand or improve access and opportunity, such as through accessibility, affordability, or innovation.

Bing, 7/7/2023

(1) Artificial intelligence is ripe for abuse, tech researcher warns: 'a .... https://www.theguardian.com/technology/2017/mar/13/artificial-intelligence-ai-abuses-fascism-donald-trump.

(2) America is now in fascism’s legal phase - The Guardian. https://www.theguardian.com/world/2021/dec/22/america-fascism-legal-phase.

(3) Difference Between Totalitarianism, Authoritarianism, Fascism - ThoughtCo. https://www.thoughtco.com/totalitarianism-authoritarianism-fascism-4147699.