Karoline Leavitt's family member was swarmed by ICE agents while picking up son from school as child's father tell her to'self deport' Deaths from highly infectious virus are growing... as states brace for widespread outbreaks My book on the Kennedys was used as a'mistress manual' by Olivia Nuzzi... then this wannabe Carolyn Bessette had the nerve to hound me with these outrageous texts: MAUREEN CALLAHAN Katy Perry's legal victory as judge orders disabled veteran to pay singer nearly $2m over Montecito mansion Trump reveals next DC renovation project to remove'Biden filth' after White House ballroom Cracker Barrel CEO whines that she got'fired by America' for woke redesign Kroger employee reveals shocking amount laundry products have increased by... 'biggest price jump I've seen in a single week' Hollywood heir, 23, whose mom Anne Heche died in horror car fireball has secret LOVE CHILD with 43-year-old... now she's telling all Missing Melodee Buzzard's mom'left her daughter with strangers she met at the zoo' Rachel Zoe reveals why she dumped husband of 26 years... and if she has started dating again Horrific moment cops found body of Cowboys star Marshawn Kneeland after he shot himself at end of 145 mph chase'This is pretty lurid' Jenny McCarthy, 53, reveals health emergency that involved NINE surgeries, her'teeth falling out' and'growth' on her eyeballs Maryland grandma, 58, dragged across floor after being deported to country she'has never even visited' Campbell's FIRES executive secretly recorded saying its soups are full of'bioengineered meat' and made for'poor people' Campbell's Soup has fired the executive caught in a secret recording insulting customers and claiming the company's products were filled with bioengineered meat. Vice President and Chief Information Security Officer Martin Bally was originally placed on administrative leave after a lawsuit against Campbell's was filed last week and the audio recording was released. In the audio, a speaker identified as Bally was heard saying: 'We have s**t for f***king poor people. It's not healthy now that I know what the f**'s in it.' The voice, alleged to be Bally, also claimed that the chicken used in the brand's soups'came from a 3D printer.' Campbell's revealed on Wednesday that their investigation concluded that the voice on the secret recording was Bally and the executive was removed from the company on Tuesday.

Eradicating poverty is the first goal in the United Nations Sustainable Development Goals. However, aporophobia -- the societal bias against people living in poverty -- constitutes a major obstacle to designing, approving and implementing poverty-mitigation policies. This work presents an initial step towards operationalizing the concept of aporophobia to identify and track harmful beliefs and discriminative actions against poor people on social media. In close collaboration with non-profits and governmental organizations, we conduct data collection and exploration. Then we manually annotate a corpus of English tweets from five world regions for the presence of (1) direct expressions of aporophobia, and (2) statements referring to or criticizing aporophobic views or actions of others, to comprehensively characterize the social media discourse related to bias and discrimination against the poor. Based on the annotated data, we devise a taxonomy of categories of aporophobic attitudes and actions expressed through speech on social media. Finally, we train several classifiers and identify the main challenges for automatic detection of aporophobia in social networks. This work paves the way towards identifying, tracking, and mitigating aporophobic views on social media at scale.

OpenAI CEO Sam Altman's decade–in-the-making effort to understand how handing out free money affects recipients and the broader economy delivered its first big results Monday. OpenResearch found that when it gave some of the poorest Americans 1,000 a month for three years with no strings attached, they put much of the money toward basic needs such as food, housing, and transportation. But what amounted to 36,000 wasn't enough to significantly improve their physical well-being or long-term financial health, researchers concluded. The initial results from what OpenResearch, an Altman-funded research lab, describes as the most comprehensive study on "unconditional cash" show that while the grants had their benefits and weren't wasted on drugs and booze, they were hardly a panacea for treating some of the biggest concerns about income inequality and the prospect of AI and other automation technologies taking jobs. Some progressive organizations in the US and elsewhere have advocated for fighting poverty through forms of unconditional cash such as universal basic income.

Social distance, or perception of the other, is recognized as a dynamic dimension of an interaction, but yet to be widely explored or understood. Through CORAE, a novel web-based open-source tool for COntinuous Retrospective Affect Evaluation, we collected retrospective ratings of interpersonal perceptions between 12 participant dyads. In this work, we explore how different aspects of these interactions reflect on the ratings collected, through a discourse analysis of individual and social behavior of the interactants. We found that different events observed in the ratings can be mapped to complex interaction phenomena, shedding light on relevant interaction features that may play a role in interpersonal understanding and grounding. This paves the way for better, more seamless human-robot interactions, where affect is interpreted as highly dynamic and contingent on interaction history.

The criminalization of poverty has been widely denounced as a collective bias against the most vulnerable. NGOs and international organizations claim that the poor are blamed for their situation, are more often associated with criminal offenses than the wealthy strata of society and even incur criminal offenses simply as a result of being poor. While no evidence has been found in the literature that correlates poverty and overall criminality rates, this paper offers evidence of a collective belief that associates both concepts. This brief report measures the societal bias that correlates criminality with the poor, as compared to the rich, by using Natural Language Processing (NLP) techniques in Twitter. The paper quantifies the level of crime-poverty bias in a panel of eight different English-speaking countries. The regional differences in the association between crime and poverty cannot be justified based on different levels of inequality or unemployment, which the literature correlates to property crimes. The variation in the observed rates of crime-poverty bias for different geographic locations could be influenced by cultural factors and the tendency to overestimate the equality of opportunities and social mobility in specific countries. These results have consequences for policy-making and open a new path of research for poverty mitigation with the focus not only on the poor but on society as a whole. Acting on the collective bias against the poor would facilitate the approval of poverty reduction policies, as well as the restoration of the dignity of the persons affected.

The Lords Justice and Home Affairs Committee warned that the lack of oversight meant "users are in effect making it up as they go along". The cross-party group said AI had the potential to improve people's lives but could have "serious implications" for human rights and civil liberties in the justice system. "Algorithms are being used to improve crime detection, aid the security categorisation of prisoners, streamline entry clearance processes at our borders and generate new insights that feed into the entire criminal justice pipeline," the peers said. Scrutiny was not happening to ensure new tools were "safe, necessary, proportionate and effective". "Instead, we uncovered a landscape, a new Wild West, in which new technologies are developing at a pace that public awareness, government and legislation have not kept up with."

Our ability to collect and record information in a digital form has exploded as has our adoption of AI systems, which use data to make decisions. But data isn't neutral, and sexism, racism and other forms of discrimination are showing up in our data products. Catherine D'Ignazio, an assistant professor of urban science and planning at the Massachusetts Institute of Technology (MIT), argues we need to do better. Along with Lauren Klein, who directs the Digital Humanities Lab at Emory University, she is the co-author of the new book Data Feminism, which charts a course for a more equitable data science. D'Ignazio also directs MIT's new Data and Feminism lab, which seeks to use data and computation to counter oppression.

Corporations would rather have an employee base full of robots and a select few humans to monitor the robots because it saves them money in labor cost. Borrowing without a maximum limitation means it is easy, and often more affordable, for corporations to invest in robots or automation than their labor force. It is cheaper to take a loan from a bank to finance the purchase of Artificial Intelligence software or robotic investing than it is to re-train workers or engage in improving work skills. So the bottom line is that corporations would rather have an employee base full of robots and a select few humans to monitor the robots because it saves them money in labor cost in robotic investing. You can thank the floating currency system inaugurated by Nixon for this change in the work culture of American corporations because it made technological innovation less expensive to finance which makes it harder for people to earn enough for a decent quality of life.

It is surprising how much ink is spilled on theories that banking is about to be wiped out by a tsunami called fintech, resulting in the alleged mass closure of banks and unemployment of financial services professionals. Last time I was in New York, Wall Street was intact and thriving and specialized financial crime lawyers like myself were busier than ever. First, the law stands in the way of fintech displacing even one dollar of financial services. A fintech company is not a Brooklyn pizza stand – it cannot survive without being connected to the financial system, which requires a banking partner and a banking relationship. In other words, fintech cannot disrupt anything unless the banks and lawyers (as regulators) let them.

Last week, ProPublica published an extensive article on the growing use of machine learning in prison-sentencing. The report, written by Julia Angwin, Jeff Larson, Surya Mattu, and Lauren Kirchner, explores the adverse effects of entrusting our judgment to an algorithm. Why is such a sci-fi twist even on the table? Machine learning promises to capture more information with greater neutrality. It's able to predict behavior and outcomes, without the fog of human judgment.