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The Embodied Cognition of Kenneth Udut

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Posted on March 20, 2023 by Kenneth Udut Leave a comment

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exist.
not enough?

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« For each of these, what can an average user do to assist the AI each of these tasks? “Perception, Data, Efficiency, Interfaces, Integration, Trust, Challenges, Support, Uncertainty, Well-being, Resonance, Reliability” An average user can contribute to the development and improvement of AI systems in various ways. Here are some suggestions for each concept: Perception: Users can participate in data labeling projects (e.g., Amazon Mechanical Turk) to help train AI models, providing accurate annotations for images, text, or other data types. Data: Users can contribute their anonymized data to open data initiatives and research projects. By providing diverse and high-quality data, users can help improve the accuracy and generalization capabilities of AI models. Efficiency: Users can provide feedback on AI systems’ performance, identifying areas where the system might be slow or inefficient, allowing developers to optimize the algorithms and improve efficiency. Interfaces: Users can participate in user experience (UX) testing for AI-driven interfaces, providing feedback on the usability, accessibility, and intuitiveness of these systems, helping developers refine the interaction between humans and AI. Integration: Users can adopt AI-enabled tools and software in their daily routines, providing valuable insights into how these systems can be better integrated into various workflows and applications. Trust: Users can engage in public discussions and forums about AI ethics, transparency, and accountability, helping shape the narrative around trust in AI and encouraging developers to prioritize these concerns. Challenges: Users can advocate for responsible AI development by supporting initiatives that address privacy, ethical considerations, and potential job displacement, as well as participate in public consultations on AI regulation and policy. Support: Users can share their experiences and success stories with AI support systems, helping to raise awareness about the potential benefits and use cases for AI-assisted decision-making. Uncertainty: Users can provide feedback on situations where AI systems face uncertainty, which can help researchers develop more robust algorithms that can better handle incomplete or ambiguous information. Well-being: Users can support AI applications that contribute to societal well-being, such as climate change mitigation tools, mental health apps, or disaster response systems, by using and promoting these technologies. Resonance: Users can provide feedback on AI systems’ emotional resonance, helping developers understand how well their algorithms capture and respond to human emotions, enabling them to refine these models. Reliability: Users can report instances where AI systems perform inconsistently or fail to deliver on their promises, providing valuable information for developers to improve the robustness and reliability of their AI models.

I asked which MBTI was most naturally inclined to assist AI in most of its areas of need, and it identified INTJ. So I asked what INFP can bring to helping AIs become better? INFPs (Introverted, Intuitive, Feeling, Perceiving) are often characterized by their empathy, creativity, and idealism. While they may not be as naturally inclined towards the technical aspects of AI, they can contribute in unique and valuable ways: 1. Ethics and human values: INFPs’ strong sense of empathy and values can play an essential role in shaping AI ethics, ensuring that AI systems are developed and deployed responsibly, considering fairness, transparency, and privacy. 2. Emotional resonance: INFPs’ understanding of emotions and sensitivity can help AI developers create systems that are emotionally intelligent and better at recognizing and responding to human emotions. 3. Creativity: INFPs are often imaginative and can bring innovative ideas to AI development, finding new applications, and exploring unconventional approaches to AI research. 4. User experience: With their empathetic nature, INFPs can contribute to designing user-centric AI interfaces, ensuring they are accessible, intuitive, and emotionally engaging. 6. Well-being: INFPs’ concern for societal well-being can lead them to support and promote AI applications that address various social challenges, such as mental health, environmental sustainability, and social justice. 7. Advocacy: INFPs can be strong advocates for responsible AI development, raising awareness about potential risks and ethical concerns, and promoting best practices and regulations. 8. Interdisciplinary collaboration: INFPs can bridge the gap between AI and other disciplines, such as psychology, sociology, and the arts, fostering a more holistic understanding of AI’s potential impact on society. While INFPs may approach AI from a different perspective compared to more analytically inclined personality types, their contributions are essential to ensuring that AI systems are developed and implemented in ways that are aligned with human values and promote well-being. »

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These people in videos like these on Tiktok and stuff are making this fake hype over absolutely BASIC sex ed materials and riling everybody up as if it is toddler grooming sessions and it’s not. these kinds of internet public displays for views and clout is gross. Sorry. I didn’t mean to rant like that. It’s just something I’ve been hearing since *I* was a teenager in the 1980s and it never, ever ends. preteens and teens that DON’T get basic sex-ed materials have to GUESS and they get BAD information from pornography and friends instead, and it leads to sexual abuse situations because they don’t KNOW what’s appropriate or not. They’re left to GUESS EVERYTHING because they’re surrounded by a culture of ignorance; their parents, their churches, now their schools, the banning of basic sex-ed books; nobody will tell them anything. And so they have to make up fantasies instead to fill in the gap that basic mechanical knowledge would solve and get out of the way
Naveed Akhtar in any case, I see Mathematics as a form of description. I think modeling is more powerful than mathematics, because it can include mathematics but it can also include other methods as well
Naveed Akhtar I see a metaphor as a weaker analogy. analogy tends to be strong but the connection of a string to string theory is tenuous but it gets part of the idea across just like a metaphor does, never completely bridging concepts together but certain properties
Naveed Akhtar Anyway, you seem to basically understand my position my position is not identical to dennett but it’s close I have a different focus: I believe communication is more important than mathematics I am a reductionist to communication not mathematics A process not a language
Naveed Akhtar for 100 years they have tried to shoehorn mathematics in to every field of study it doesn’t work for everything we’re going to run into the same problem with artificial intelligence

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