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Artificial Intelligence (AI) and Human Learning.pptx
The document examines the complex interplay between artificial intelligence (AI) and human behavior, focusing on how AI algorithms influence individual and collective identity, agency, and autonomy. It discusses the effects of AI on behavior prediction, user profiling, social influence, identity construction, and the reinforcement of cultural norms, raising critical ethical and philosophical questions about autonomy and self-determination. The need for diverse datasets and algorithmic fairness is highlighted to mitigate biases and support positive human-AI interactions.
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Artificial Intelligence (AI) and Human Learning.pptx
- 1. Artificial Intelligence (AI)and Human Learning Dr. A. Prabaharan Professor & Research Director, Public Action www.indopraba.blogspot.com
- 2. AI & HumanLearning AI's interaction with human behavior and identity is a complex and multifaceted topic, raising questions about the impact of AI on individual and collective identity, agency, and autonomy. Here's how AI intersects with human behavior and identity www.indopraba.blogspot.com
- 3. Behavior Prediction andInfluence AI algorithms can analyze vast amounts of data to predict human behavior, preferences, and decisions. This capability is leveraged in various applications, including personalized recommendations, targeted advertising, and social media manipulation. AI-driven systems can influence human behavior by shaping information consumption, decision-making processes, and social interactions, raising concerns about autonomy and agency. www.indopraba.blogspot.com
- 4. Personalization and UserProfiling AI-driven personalization algorithms create detailed user profiles based on individuals' online activities, preferences, and social connections. These profiles are used to tailor content, products, and services to individual users, enhancing user engagement and satisfaction. However, the use of personalized algorithms can also lead to filter bubbles, echo chambers, and reinforcement of existing biases, affecting individuals' perceptions and behaviors. www.indopraba.blogspot.com
- 5. Social Influence andConformity AI-driven social media platforms and recommendation systems can amplify social influence dynamics, leading to conformity, group polarization, and echo chamber effects. By promoting content that aligns with users' existing beliefs and preferences, AI algorithms can reinforce social norms, ideologies, and behaviors, shaping collective identity and group dynamics in online communities. www.indopraba.blogspot.com
- 6. Identity Construction andRepresentation AI technologies play a role in identity construction and representation, influencing how individuals perceive themselves and are perceived by others. Social media platforms use AI algorithms to curate users' online personas, presenting a curated version of their identity to the public. Additionally, AI-driven avatars and virtual characters enable users to explore and express different aspects of their identity in virtual environments. www.indopraba.blogspot.com
- 7. Cultural and SocietalNorms AI systems reflect and reinforce cultural and societal norms embedded in the data used for training and development. As a result, AI algorithms may perpetuate biases, stereotypes, and inequalities present in society, impacting individuals' sense of identity and belonging. Addressing bias in AI requires diverse and representative datasets, as well as algorithmic fairness measures to mitigate unintended consequences on human behavior and identity. www.indopraba.blogspot.com
- 8. Ethical and PhilosophicalImplications www.indopraba.blogspot.com AI's influence on human behavior and identity raises ethical and philosophical questions about autonomy, free will, and self-determination. As AI algorithms increasingly shape individuals' choices and experiences, there is debate about the extent to which humans retain control over their actions and identities in AI-mediated environments. Exploring these implications requires interdisciplinary dialogue and reflection on the nature of human agency and identity in the digital age.
- 9. Human-AI Interaction Dynamics Understanding the dynamics of human-AI interactions is essential for navigating the complexities of AI's impact on human behavior and identity. Human-AI interaction design principles emphasize transparency, trustworthiness, and user empowerment to promote positive interactions and support individuals' autonomy and agency in AI-mediated environments.
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