Topics & Discussions
We spark meaningful discussions at the crossroads of technology, ethics, and society. Our mission is to inspire and equip the next generation of leaders to critically examine and shape the future of technology with a strong ethical compass.
Case Study
AI Discrimination in Job Market
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Amazon’s hiring algorithm unintentionally penalized resumes containing terms like "women's" or linked to women-only colleges. This occurred because the algorithm, trained on historical hiring data, reflected a male-dominated employment pattern, not explicit bias in the code.
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Hidden Discrimination: Unconscious bias in AI is harder to eliminate as it’s embedded throughout the system, making it difficult to pinpoint and correct.
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How can we make AI advancements equitable and minimize harm?
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How does AI discriminate in hiring, and what are the impacts?
Case Study
AI, Misinformation & Plagiarism: Digital Literacy for Youth
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TaleTree, invited us to lead a digital literacy workshop, where I used ChatGPT’s AI image feature to show online misinformation and taught students how to avoid plagiarism.
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Why should we question the accuracy of online information and how?
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How would we respond if someone claimed credit for your original creative work?
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What are ways we can check if something is fake or real online?
Current Topic
ChatGPT in High School English and Literature Classes?
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AI tools like ChatGPT enhance writing, offer diverse interpretations, support ESL students, and improve efficiency.
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Over-reliance on AI tools risks fostering cheating, undermining critical thinking, increasing plagiarism, and reducing meaningful teacher-student interactions.
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What ethical concerns arise from unequal access, overdependence, or data privacy issues?
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How can schools balance AI use to supplement learning without replacing genuine effort?
Action We Proposed
C-SPAN StudentCam 2023
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Social Media Harm: Platforms like TikTok and Facebook face criticism for data misuse, monopolistic practices, and negative mental health impacts.
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TikTok’s Data Issues: Extensive data collection raises concerns over misuse, surveillance, and ties to Chinese influence.
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Facebook’s Ethics: Harmful algorithms and profit-first decisions spotlight the platform’s neglect of user well-being.
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Transparency & Regulation: Our proposed laws aim to increase social media accountability, balance cybersecurity, and limit monopolies.
Research
Free Speech & Social Woke-ism
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Evolving Free Speech: Student free speech regulations have adapted over time to societal and digital changes.
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Balancing Rights and Safety: Schools must balance First Amendment rights with safety and inclusivity.
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Regulation and Empathy: A mix of clear rules and empathetic culture fosters open, respectful dialogue.
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Adapting to Digital Age: Policies must address social media’s impact while supporting intellectual and moral growth.
Technology Regulations
AI Governance
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How might we ensures fairness, transparency, and accountability in AI systems to prevent bias and promote responsible use?
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How might we establishes policies to mitigate risks like data misuse, security breaches, and harmful societal impacts with laws?
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How might we protect personal data and safeguards AI systems from malicious use or cyberattacks?
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How might we encourages partnerships among governments, industries, and communities to ensure equitable access and diverse perspectives in AI development?
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Is there a change for change we can make now?
Case Study
Trolley Problem
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What is ethics?
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Is it morally right to sacrifice one life to save five (utilitarianism)?
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Is it wrong to actively intervene and cause harm, even for a greater good (deontology)?
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Does intent matter more than the consequences?
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Other versions of Trolley Problem
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Doctor ver.
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Gun lined ver.
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