Congressional Republicans have hit a new low, now blaming the government shutdown on everyday Americans, saying this weekend's no Kings protests are somehow prolonging the stalemate on Capitol Hill. Now, over the past week, Trump officials and elected Republicans have blasted protesters as Marxists, pro- Hamas, Americahating, and a whole lot worse. But as I write for MSNBC.com that protesters are not radicals, nor are they dangerous threat except to those who seek to strangle freedom of speech. They are cit ...

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]

Standards should be applied consistently and fairlyJohn Carter (@martianwyrdlord):>Maori show up in New Zealand in 14th century"We are the indigenous people, this country does not belong to anyone else, whites go home.">English have been in England since the 5th century"England belongs to everyone!" ...

用户想要的永远是公平、公平，还是他妈公平Yi He (@heyibinance):来！一起修仙啊！https://t.co/e0RRdJLVOY ...

RT Yuyue (@yuyue_chris)刚才看见一姐 @heyibinance 在币安广场的发文，其中有一句话提到：大部分用户期待的不是永赚，用户想要的永远是公平、公平，还是他妈公平看见这句话感觉她懂了，又感觉半年前说的很多气话也是值得的。至少：现在币安 alpha 的 VC 项目都在同一起跑线上提供买入机会、BNBChain meme 流动性盛宴的新一波不是所谓关系好的 KOL 赚钱而是有实力的车头凭实力拿结果、币安钱包新模式的机会里散户能内盘打到筹码赚几百上千倍世界上不会有绝对公平，但总能有相对公平。能有相对公平的机会就能给有实力的人修仙竞技的机会，才没有完全的阶层固化。或许这些改善归功于牛市，但我看见这句话之后结合币安近半年的行动，释然地理解了这个世界确实在动态变化着 ...

The US has always funded new ventures and aided businesses during crises. @nirkaissar says the crucial question to ask is how do we do this fairly and transparently (via @opinion) https://t.co/UddeuVgGOZ ...

solana is still undoubtedly the best place for all decentralized apps to build fully transparent businesses with infra suitable to handle large amounts of activityhttps://t.co/ITAFbFLPTw is the first in its industry to highlight core advantages of fully onchain gamingLuck.io (@luckio):A new standard for transparency and fairness in gambling.The Proov Blockchain Explorer is live.Every bet, outcome, settlement and payout is now published in an accessible format for anyone to audit.You can search any player ad ...

I have nothing bad to say about the team in question — imo good folksbut this is straight-up incorrectwe only add this service if the user *explicitly asks us to do so* — it would make 0 sense to work against the userin fact, the main point of this is that today, users and devs are getting cut out completely!Downstream people receive the rewards on their txns and the users/devs themselves get nothinghow is that fair?we're trying to help them get their fair share **if they ask us to** — completely optionalI ...

Silence isn’t kindness — it’s a risk.At Binance, fairness means speaking up early, with clarity and care. Feedback helps us move faster, fix issues sooner, and support each other better.Radical candor > quiet frustration 🗣️Read the latest 👉 https://t.co/qOSHRWRKA3 https://t.co/EArfQU0eLq ...

Is treating everyone the same really fair? 🤔In our latest Hot Takes and Hard Truths, Binancians swipe on tough workplace truths — from recognition and raises to time zones and autonomy. 💬This isn’t about buzzwords. It’s about what fairness really looks like at crypto speed. 🟡Read real stories → https://t.co/uF4fpjzYO7 ...