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Perspective in hindsight | Leora Glotser | TEDxYouth@ISMonaco
TEDx Talks· 2025-12-12 16:08
Good afternoon everyone. This talk is about the power of perspective. And let me tell you, it really is powerful.What if I told you that the bombings of Hiroshima and Nagasaki were a good thing. I mean, what a daring and shocking way to start a speech, right. And I bet you at least one person in this room disagrees with me. Let me tell you, neither I nor the person disagreeing with me are wrong.For many Americans in 1945, that day was a day that we'll be proud to remember. They saved lives on both sides, co ...
Seeing Beyond the Algorithm | Jenna Hammoud | TEDxYouth@JeffersonStreet
TEDx Talks· 2025-12-03 17:27
AI Bias and its Impact - AI systems learn and repeat biases and inequalities present in the world due to being trained on biased data [5] - AI bias can lead to exclusion, such as in hiring processes where AI tools favor certain demographics over others [7][8][10][11] - Lack of representation in AI training data can result in systems that do not accurately recognize or serve all users [15][20] The Importance of Awareness and Critical Thinking - Awareness and AI literacy are crucial for challenging biased AI systems and promoting change [6][23] - Questioning AI responses and outcomes can help break the cycle of reinforcing existing biases [6][18] - Individuals have the power to shape the future of AI by being informed, curious, and unafraid to challenge the systems around them [24] Examples of AI Bias and Exclusion - An AI hiring tool favored men due to being trained on 10 years of resumes primarily from men [7][9] - Facial recognition systems have difficulty accurately detecting darker-skinned and female faces [20] - Voice recognition systems may not be trained to recognize higher-pitched voices, excluding women [15] Call to Action - Individuals should understand the biases rooted within technology to question and challenge outcomes [18] - Promoting ethical and equitable AI systems requires collective effort and awareness [22] - The goal is to lead AI and the world towards a future that is fair, inclusive, and human-centered [25]
Perspective | Jonny Braun | TEDxKalamalka Lake
TEDx Talks· 2025-11-20 17:36
Core Message - The speech emphasizes the importance of shifting perspective to change lives and the lives of those around us [1] - It advocates for checking biases rather than suppressing them, urging reflection on feelings and assumptions [5][6] - The speaker shares a personal story of homelessness to illustrate how perspective shapes understanding and judgment [9][10] - The speech highlights that homelessness is a condition, not a stereotype, and encourages empathy and understanding [12] Personal Experience & Transformation - The speaker recounts experiencing homelessness at age 16 after a conflict with family [10] - The speaker details overcoming homelessness, graduating high school, and eventually becoming a police officer [11] - The speaker emphasizes the role of support systems, resources, and personal determination in achieving success [11] Social Commentary & Call to Action - The speech challenges the audience to reconsider their judgments of others, particularly those experiencing homelessness [8][9] - It encourages gratitude for one's own circumstances and a focus on the present rather than constantly wanting more [12][14] - The speaker advocates for being a "good neighbor," lifting others up, and avoiding quick judgments [14][15]
X @Nick Szabo
Nick Szabo· 2025-11-18 21:25
Bias in Academic and Media Reporting - Academic and journalistic reporting may exhibit bias by highlighting studies showing bias against women while downplaying or ignoring studies that do not [1] - This selective reporting can lead to a distorted understanding of scientific findings [1]
Why Microaggressions Aren’t Micro, and What We Can Do About Them | Nicole Cabezas Loja | TEDxVUB
TEDx Talks· 2025-11-18 17:10
[Music] [Applause] I would want to start by asking you all a small favor. Could you all just close your eyes. And imagine that you are an 11 years old child again.You're sitting in a chair that is too small to fit your growing body in a classroom that smells like freshly cooked pasta. You check the clock and think, "Oh, okay. I'm half an hour away of this muffin mom promised to give you." You're supposed to be make drawing attention, but no, you you're daydreaming. You're doodling, drifting away, drawing a ...
X @Avi Chawla
Avi Chawla· 2025-11-18 06:31
LLM Security Challenges - LLMs face adversarial attacks via prompts, requiring focus on security beyond correctness, faithfulness, and factual accuracy [1] - A well-crafted prompt can lead to PII leakage, bypassing safety filters, and generating harmful content [2] - Red teaming is core to model development, demanding SOTA adversarial strategies like prompt injections and jailbreaking [2] Red Teaming and Vulnerability Detection - Evaluating LLM responses against PII leakage, bias, toxic outputs, unauthorized access, and harmful content generation is crucial [3] - Single-turn and multi-turn chatbots require different tests, focusing on immediate jailbreaks versus conversational grooming, respectively [3] - DeepTeam, an open-source framework, performs end-to-end LLM red teaming, detecting 40+ vulnerabilities and simulating 10+ attack methods [4][6] DeepTeam Framework Features - DeepTeam automatically generates prompts to detect specified vulnerabilities and produces detailed reports [5] - The framework implements SOTA red teaming techniques and offers guardrails to prevent issues in production [5] - DeepTeam dynamically simulates adversarial attacks at run-time based on specified vulnerabilities, eliminating the need for datasets [6] Core Insight - LLM security is a red teaming problem, not a benchmarking problem; thinking like an attacker from day one is essential [6]
X @Tesla Owners Silicon Valley
You can't hate the media enough.Wikipedia is the most biased article resource!Grokipedia is actually truth-seeking and unbiased.Anything to paint Elon Musk as a racist will get clicks.X is the only place I come to for truthful news. https://t.co/IZFdYeTLCw ...
X @Nick Szabo
Nick Szabo· 2025-11-15 23:11
Information Filtering & Bias - Observed reality is a filtered snapshot or summary, not the complete reality [1] - Heavily biased filters (whitepills or blackpills) distort reality and hinder problem-solving [2] - Fatalism (negative observations without solutions) is detrimental [2]
Sradicare l’anti-scienza | Stefania Stefani | TEDxGela
TEDx Talks· 2025-11-12 17:03
Buonasera a tutti. Sradicati. mh sradicata io, ma non per me. Perché quando mi è arrivato l'idea di fare questo tema da svolgere, mi sono detta e io cosa faccio qua? Sono un microbiologo, sono una donna di scienza, cosa c'entro con questa parola? E devo dirvi che un pesce fuor d'acqua. Esattamente un pesce fuor d'acqua. Poi pensavo pensavo soprattutto camminando. Nei miei cammini un giorno mi è venuta un'idea e ho pensato che fare due chiacchiere con voi poteva essere interessante. Quelle due chiacchiere er ...
BBC Apologizes to Trump for Misleading Edits of His Remarks
Bloomberg Television· 2025-11-11 07:36
Controversy & Resignations - BBC's editing of a documentary featuring Donald Trump's remarks led to accusations of bias [1][2] - The edit involved splicing Trump's speech on January 6th, 2021, potentially misrepresenting his message [1][2] - White House accused BBC of being "100% fake news" and a leftist propaganda machine [3] - Director General Tim Davyy and BBC News CEO Deborah Turnis resigned following the controversy [3] Political & Financial Implications - Donald Trump welcomed the resignations, accusing BBC of attempting to influence the US presidential election [4] - The dispute occurs amidst accusations of bias and criticism of BBC's handling of the war in Gaza [4] - The controversy precedes crucial talks with the UK government regarding BBC's funding model and annual license fee, which could impact the institution's future [4]