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 ...

The head of the UK's national broadcaster, the BBC, and the boss of BBC News, have quit in a dispute over editing that stretched all the way to the White House. At the center of the Fiori was a documentary by the BBC which featured remarks by Donald Trump. It spliced together sections of the US president's speech on January the 6th, 2021, the day of the capital riots.The edit made Trump appear to say that his supporters should walk down to the capital and fight like hell. In fact, he said they should cheer ...

Wikipedia Founder said:“Wikipedia, in light of a strong launch from Grokipedia, you'd better get your house in order or you'll go the way of the Sears catalogue. Are you listening yet?"People are sick of biased articles & they want truth seeking information.Wikipedia will die out with it's consistent biased & woke mindset.Grokipedia is truth seeking & the truth always wins! ...

RT Mario Nawfal (@MarioNawfal)🇮🇳 MODI'S ADVISOR TORCHES WIKIPEDIA FOR WOKE BIAS, BACKS GROKIPEDIA AS MORE ACCURATESanjeev Sanyal, a Member of Modi’s Economic Advisory Council, called out Wikipedia for being a “selectively blind, politically correct mess” when it comes to Indian history and politics.According to Sanyal, Wikipedia loves playing referee on issues like the 2020 Delhi riots, but only tells half the story - Muslim victims are center stage, Hindu victims are a footnote.Godhra train burning? Wikipe ...

RT Arthur MacWaters (@ArthurMacwaters)Wikipedia: "conservatives say the twitter files show what they call 'liberal bias'"Grokipedia: "here's what the twitter files found, specifically, the mechanism for algorithmic demotion, how it was applied, and you can click to read them it detail"The spin in wikipedia is insaneGrokipedia is so much more clear and unbiased.I knew wikipedia was biased, but this is pretty insane ...

Who is responsible when AI makes a mistake. Imagine this. A self-driving car runs a red light.There's no one behind the wheel. Someone gets hurt. Who do we blame.The AI. But it's just a few lines of code. The programmer.But they weren't the ones driving the car. These aren't sci-fi thought experiments anymore. This is happening now.We already trust AI with a lot. Our playlists, our roots, our resumes, even our diagnosis. But what happens when it gets it wrong.That's the question I want to explore. Who, if a ...

AI Trustworthiness Framework - The industry emphasizes the importance of a three-pillar framework for trustworthy AI systems: fairness, explainability, and accountability [5] - Fairness in AI systems means operating without bias or preference, requiring data de-biasing to avoid skewed outcomes [6][8] - Explainability is crucial, as AI systems should provide reasons for their actions to ensure user understanding and prevent unintended consequences [9][10] - Accountability is necessary, meaning a person or entity must be responsible for the AI's actions, especially in critical applications like self-driving cars [13][14] AI Implementation Risks - AI systems can exhibit biases based on the data they are trained on, leading to unfair or discriminatory outcomes, as seen in Amazon's hiring AI example [7][8] - Lack of explainability can result in AI systems making decisions based on flawed logic, such as mistaking snow for wolves [11][12] - Without accountability, AI systems can cause significant financial losses, as illustrated by the friend's stock trading AI example [16][17] Building Trustworthy AI - Building trustworthy AI requires a team effort, involving students, startups, and industry experts working together [20] - Continuous testing and refinement are essential to ensure the AI system behaves as intended and avoids unintended consequences [18][19] - The industry should avoid treating AI as a "magical oracle" and instead focus on building systems that are transparent and accountable [21]

Core Argument - The industry emphasizes the danger of accepting "single stories" or simplified narratives, as they often omit crucial context and can lead to misjudgments and oppression [2][8][14][16] - The industry advocates for critical thinking, questioning information, and seeking diverse perspectives to avoid the pitfalls of single stories [17][19][23][24] Historical and Social Examples - The report cites Nazi Germany's economic recovery as a "single story" that masked forced labor, suppressed wages, and the suppression of trade unions [4][5][6][7][8] - The report uses a personal anecdote about a wrongly accused student to illustrate how quickly society can judge individuals based on socioeconomic status and preconceived notions [9][10][11][12][13][14] Practical Recommendations - The industry suggests actively listening, questioning missing perspectives, and challenging personal biases to avoid single-story thinking [19][20][21][22] - The industry encourages engaging with diverse viewpoints, reading opposing news sources, and using imagination to understand different experiences [20][21] Call to Action - The industry challenges individuals to question the narratives they encounter and seek a more comprehensive understanding of people, ideas, and situations [23][25] - The industry promotes becoming "story seekers" who challenge the status quo and strive for a more equitable and humane world [24][25]

Imagine two patients. Let's call them patient A and patient B. Patient A arrives for her routine mamogram.She feels perfectly fine, but an AI system reviewing her scan flags a tiny early stage tumor. So small no doctor noticed. Thanks to that early detection, she's treated promptly and her life is saved.Patient B arrives at A&E with shortness of breath. An AI model trained on thousands of past cases concludes his condition is anxiety. The doctor, trusting the AI, sends him home.Hours later, he dies of a hea ...

RT Autism Capital 🧩 (@AutismCapital)🚨NEW: The founder of Wikipedia shares that Wikipedia has BLACKLISTED conservative news sources such as:Breitbart, Daily Caller, Epoch Times, FOX News, The Federalist, Blaze Media, The NY Post, Counter Punch, Daily Caller, and Daily Mail, Sputnik News, UNZ Review, News Nation, Newsmax, etc.While allowing liberal news sources such as: The NYT, WashPo, Axios, AP, Reuters, Snopes, NPR, CNN, The Nation, Mother Jones, Glad, TV Guide, Hollywood Reporter, HuffPo, Gizmodo/Engadget ...