AI Bias & Fairness - AI systems mimic human intelligence, learning from data to make classifications and predictions [6][8] - Bias in AI arises from non-diverse or incomplete data, leading to unfair or discriminatory outcomes [3][4] - AI amplifies existing inequalities by reflecting and perpetuating biases present in the data it's trained on [18] - Assumptions about identity are not valid data, yet AI learns from these assumptions if they are included in the training data [3][4] Examples of AI Bias - Applicant tracking systems can penalize resumes based on gendered language due to biased training data [12][13] - Facial recognition systems misidentify African and Asian faces more frequently than white faces [14] - Voice assistants misunderstand non-white speakers nearly twice as often as white speakers, with error rates up to 35% [16] - Insurance algorithms may charge higher premiums to certain demographics based on biased risk models [16][17] Addressing AI Bias - It is crucial to question the data used to train AI, ensuring it represents the entire population [19] - Building diverse teams can help recognize and identify biases that others might miss [19] - Organizations should set ethical guidelines and audit AI systems for bias, making fairness a performance metric [19][20] - Transparency in AI systems is essential, with models providing citations and reasoning for their decisions [21]

Today I want to share with you a story. A story not just of one individual but the story of an entire country's fight for social justice and fairness. This memoir is titled Niskam Karmmayogi which is Nepali for selfless worker.And the man you see on the cover of this memoir is Ratna Prasad Karel my grandfather. There are 195 countries in the world among which there are only seven which have never been colonized. My home country Nepal is one of them.But just because we were never colonized doesn't mean that ...

We've talked to most of the countries and pretty much they've had their way for many many decades as you know and it was time that we just wanted fairness. This is uh not really equitable from our standpoint because it's just a small token by comparison to the damage that's been done over the years. But we had no other president that was willing to do this.I did it my first term with China and others. We took in hundreds of billions of dollars of tariffs. No inflation.the most successful period of time that ...

Good afternoon everyone. My name is Archie and today I'll be talking to you about life, law, and the rules we all play by. Thank you and I hope you're going to find this interesting.Have you ever sat around the dinner table and played a game of Uno. A game we all know and love. And yet a common problem many families and friends face is a differing of rules.Some allow the plus4 to be placed consecutively and some don't. And yet we've all had that experience when we've done something in a game and someone fro ...