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Bill Fulkerson

How Cities Lost Control of Police Discipline - 0 views

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    In the chaos of 1960s Detroit, a fledgling police union laid the groundwork for a system that, to this day, constrains discipline for officers accused of misconduct.
Steve Bosserman

When the state is unjust, citizens may use justifiable violence | Aeon Ideas - 0 views

  • Here’s a philosophical exercise. Imagine a situation in which a civilian commits an injustice, the kind against which you believe it is permissible to use deception, subterfuge or violence to defend yourself or others. For instance, imagine your friend makes an improper stop at a red light, and his dad, in anger, yanks him out of the car, beats the hell out of him, and continues to strike the back of his skull even after your friend lies subdued and prostrate. May you use violence, if it’s necessary to stop the father? Now imagine the same scene, except this time the attacker is a police officer in Ohio, and the victim is Richard Hubbard III, who in 2017 experienced just such an attack as described. Does that change things? Must you let the police officer possibly kill Hubbard rather than intervene?
  • Most people answer yes, believing that we are forbidden from stopping government agents who violate our rights. I find this puzzling. On this view, my neighbours can eliminate our right of self-defence and our rights to defend others by granting someone an office or passing a bad law. On this view, our rights to life, liberty, due process and security of person can disappear by political fiat – or even when a cop has a bad day. In When All Else Fails: The Ethics of Resistance to State Injustice (2019), I argue instead that we may act defensively against government agents under the same conditions in which we may act defensively against civilians. In my view, civilian and government agents are on a par, and we have identical rights of self-defence (and defence of others) against both. We should presume, by default, that government agents have no special immunity against self-defence, unless we can discover good reason to think otherwise. But it turns out that the leading arguments for special immunity are weak.
Steve Bosserman

Trump's Deportation Plan Stops Here - 0 views

  • If there is a barrier to Trump resurrecting the massive deportations of the Bush and Obama years, though, it lies in the independence of local law enforcement. To override them is certainly possible. But it would require a vast expansion in federal power that, under any other circumstances, would be anathema to small-government conservatives worried about Washington overreach and rejecting the judgment of local police. The self-proclaimed law-and-order candidate would have to act against the wishes of police chiefs. Trump couldn’t persuade voters in those places to support his candidacy. How much punishment is he willing to inflict on them to ensure they assist in an unprecedented eviction of the American populace?
Bill Fulkerson

interfluidity » Authority - 0 views

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    "We use the word "authority" to mean lots of things - police and state actors are "the authorities", an expert may be "an authority on the matter, etc. But I want to suggest that it is very useful to think of authority as a characteristic of information in a social context. In particular, information is "authoritative" when some community of people to coordinate upon it and behave as if it were true, regardless of whether or not the information is in fact true, or even of whether the individuals doing the behaving personally believe it to be true. If information is authoritative, members of the community behave as if the information is true even despite strong, often opposing interests in the question. When we claim that someone "is an authority", we are claiming that the information they produce will (or should) alter behavior within some human community. Authority subsists in the relationship between information and behavior in a social context."
Steve Bosserman

Jeff Sessions is shamefully undermining WEB Du Bois's legacy | Marc Mauer - 0 views

  • Since 2002, the US Department of Justice’s WEB Du Bois program has sponsored research fellowships on issues of race and criminal justice. During Republican and Democratic administrations, a diverse group of academics have carried the spirit of the noted sociologist and civil rights leader to the race challenges of the 21st century. Given the racial disparity endemic at every stage of the justice system the DoJ’s investigation of these issues has been praiseworthy. But with Jeff Sessions as attorney general exploring the roots of this injustice may now be compromised. In the recently released solicitation for the Du Bois fellowships the DoJ invited scholars to engage in research on five issues arising out of the “tough on crime” era that would make a student of the Du Bois legacy shudder. Whereas Du Bois is widely known for promoting the idea that “the problem of the 20th century is the problem of the color line”, the DoJ solicitation displays no interest in such high-profile issues as police killings of unarmed black men or the impact of mass incarceration on the African American community. Instead, “protecting police officers” is the only area of law enforcement prioritized by the DoJ. Another research priority, “enhancing immigration enforcement”, coming at a moment when barely disguised racist imagery accompanies those policies, seems particularly jarring when upheld in the name of a civil rights legend. The DoJ approach to research is unfortunately consistent with the misconstrued “law and order” agenda that Jeff Sessions has brought to his leadership. Within a month of taking office Sessions had rescinded the Obama-era decision to phase out federal contracting with private prisons. That initiative had been based in part on an inspector general’s finding that such prisons had higher levels of assault and safety concerns than public prisons.
Bill Fulkerson

Why a 400-Year Program of Modernist Thinking is Exploding | naked capitalism - 0 views

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    " Fearless commentary on finance, economics, politics and power Follow yvessmith on Twitter Feedburner RSS Feed RSS Feed for Comments Subscribe via Email SUBSCRIBE Recent Items Links 3/11/17 - 03/11/2017 - Yves Smith Deutsche Bank Tries to Stay Alive - 03/11/2017 - Yves Smith John Helmer: Australian Government Trips Up Ukrainian Court Claim of MH17 as Terrorism - 03/11/2017 - Yves Smith 2:00PM Water Cooler 3/10/2017 - 03/10/2017 - Lambert Strether Why a 400-Year Program of Modernist Thinking is Exploding - 03/10/2017 - Yves Smith Links 3/10/17 - 03/10/2017 - Yves Smith Why It Will Take a Lot More Than a Smartphone to Get the Sharing Economy Started - 03/10/2017 - Yves Smith CalPERS' General Counsel Railroads Board on Fiduciary Counsel Selection - 03/10/2017 - Yves Smith Another Somalian Famine - 03/10/2017 - Yves Smith Trade now with TradeStation - Highest rated for frequent traders Why a 400-Year Program of Modernist Thinking is Exploding Posted on March 10, 2017 by Yves Smith By Lynn Parramore, Senior Research Analyst at the Institute for New Economic Thinking. Originally published at the Institute for New Economic Thinking website Across the globe, a collective freak-out spanning the whole political system is picking up steam with every new "surprise" election, rush of tormented souls across borders, and tweet from the star of America's great unreality show, Donald Trump. But what exactly is the force that seems to be pushing us towards Armageddon? Is it capitalism gone wild? Globalization? Political corruption? Techno-nightmares? Rajani Kanth, a political economist, social thinker, and poet, goes beyond any of these explanations for the answer. In his view, what's throwing most of us off kilter - whether we think of ourselves as on the left or right, capitalist or socialist -was birthed 400 years ago during the period of the Enlightenment. It's a set of assumptions, a particular way of looking at the world that pushed out previous modes o
Steve Bosserman

An Ocean Apart, But United in Concerns About Hate Crimes - ProPublica - 0 views

  • The emerging scholarship in Britain may be of use to law enforcement, academics and advocacy organizations in the U.S. In November, the FBI announced it had seen a rise in hate crimes in 2015 over the previous year. The police in New York City saw a similar pattern during 2016 as the country experienced a divisive vote with jobs and immigration among the lightning rod issues. And civil-rights groups such as the Southern Poverty Law Center and the Anti-Defamation League have noted both an uptick in incidents and a direct relation to the 2016 presidential election.
Steve Bosserman

'Forget the Facebook leak': China is mining data directly from workers' brains on an in... - 0 views

  • The technology is in widespread use around the world but China has applied it on an unprecedented scale in factories, public transport, state-owned companies and the military to increase the competitiveness of its manufacturing industry and to maintain social stability.
  • Jin said that at present China’s brain-reading technology was on a par with that in the West but China was the only country where there had been reports of massive use of the technology in the workplace.
  • With improved speed and sensitivity, the device could even become a “mental keyboard” allowing the user to control a computer or mobile phone with their mind.
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  • Qiao Zhian, professor of management psychology at Beijing Normal University, said that while the devices could make businesses more competitive the technology could also be abused by companies to control minds and infringe privacy, raising the spectre of “thought police”.
  • “There is no law or regulation to limit the use of this kind of equipment in China. The employer may have a strong incentive to use the technology for higher profit, and the employees are usually in too weak a position to say no,” he said.
  • Lawmakers should act now to limit the use of emotion surveillance and give workers more bargaining power to protect their interests, Qiao said. “The human mind should not be exploited for profit,” he said.
Steve Bosserman

Will AI replace Humans? - FutureSin - Medium - 0 views

  • According to the World Economic Forum’s Future of Jobs report, some jobs will be wiped out, others will be in high demand, but all in all, around 5 million jobs will be lost. The real question is then, how many jobs will be made redundant in the 2020s? Many futurists including Google’s Chief Futurist believe this will necessitate a universal human stipend that could become globally ubiquitous as early as the 2030s.
  • AI will optimize many of our systems, but also create new jobs. We don’t know the rate at which it will do this. Research firm Gartner further confirms the hypothesis of AI creating more jobs than it replaces, by predicting that in 2020, AI will create 2.3 million new jobs while eliminating 1.8 million traditional jobs.
  • In an era where it’s being shown we can’t even regulate algorithms, how will we be able to regulate AI and robots that will progressively have a better capacity to self-learn, self-engineer, self-code and self-replicate? This first wave of robots are simply robots capable of performing repetitive tasks, but as human beings become less intelligent trapped in digital immersion, the rate at which robots learn how to learn will exponentially increase.How do humans stay relevant when Big Data enables AI to comb through contextual data as would a supercomputer? Data will no longer be the purvey of human beings, neither medical diagnosis and many other things. To say that AI “augments” human in this respect, is extremely naive and hopelessly optimistic. In many respects, AI completely replaces the need for human beings. This is what I term the automation economy.
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  • If China, Russia and the U.S. are in a race for AI supremacy, the kind of manifestations of AI will be so significant, they could alter the entire future of human civilization.
  • THE EXPONENTIAL THREATFrom drones, to nanobots to 3D-printing, automation could lead to unparalleled changes to how we live and work. In spite of the increase in global GDP, most people’s quality of living is not likely to see the benefit as it will increasingly be funneled into the pockets of the 1%. Capitalism then, favors the development of an AI that’s fundamentally exploitative to the common global citizen.Just as we exchanged our personal data for convenience and the illusion of social connection online, we will barter convenience for a world a global police state where social credit systems and AI decide how much of a “human stipend” (basic income) we receive. Our poverty or the social privilege we are born into, may have a more obscure relationship to a global system where AI monitors every aspect of our lives.Eventually AI will itself be the CEOs, inventors, master engineers and creator of more efficient robots. That’s when we will know that AI has indeed replaced human beings. What will Google’s DeepMind be able to do with the full use of next-gen quantum computing and supercomputers?
  • Artificial Intelligence Will Replace HumansTo argue that AI and robots and 3D-printing and any other significant technology won’t impact and replace many human jobs, is incredibly irresponsible.That’s not to say humans won’t adapt, and even thrive in more creative, social and meaningful work!That AI replacing repetitive tasks is a good thing, can hardly be denied. But will it benefit all globally citizens equally? Will ethics, common sense and collective pragmatism and social inclusion prevail over profiteers?Will younger value systems such as decentralization and sustainable living thrive with the advances of artificial intelligence?Will human beings be able to find sufficient meaning in a life where many of them won’t have a designated occupation to fill their time?These are the question that futurists like me ponder, and you should too.
Bill Fulkerson

Links 8/3/17 | naked capitalism - 0 views

  • uarterBack August 3, 2017 at 8:31 am Re NYT Hacking Wars story, I have long had the same “self-licking ice cream cone” concerns. The military industrial complex has been slowly shaping polic opinion to make “kenetic” response to cyber attacks palatable. Consider this 2013 article: https://armscontrolnow.org/2013/05/30/is-there-a-place-for-nuclear-deterrence-in-cyberspace/ Cyber as a Casus Belli has two inherent fatal flaws in its inability to accurately prove attribution and the extent of damage. The former makes it impossible to know if a counter attack is against a party that had any role in the original cyber attack, and the latter makes it impossible to prove or verify harm, which is the foundation of the “proportional response” required under the international laws of war. These two flaws can raise the potential of false flags to a new level. Do we really want to shed blood of untold numbers of military and civilian soles because of a report of a unattributable cyber attack on a purported “crital infrastructure component” that nobody every heard of,and that cannot be confirmed as existing in the first place? Gulf of Tonkin, eat your heart out. Look no further than our present history. We are slowly moving towards war with Russia based on the premise of a cyber attack that may, or may not, have actually happened, and no one has been allowed to inspect the physical servers related to the claimed attack. International laws of war should be clear that kenetic response to cyber attacks must be off the table. The only acceptable proportionate attacks should e economic or offensive cyber. Full stop.
Steve Bosserman

How We Made AI As Racist and Sexist As Humans - 0 views

  • Artificial intelligence may have cracked the code on certain tasks that typically require human smarts, but in order to learn, these algorithms need vast quantities of data that humans have produced. They hoover up that information, rummage around in search of commonalities and correlations, and then offer a classification or prediction (whether that lesion is cancerous, whether you’ll default on your loan) based on the patterns they detect. Yet they’re only as clever as the data they’re trained on, which means that our limitations—our biases, our blind spots, our inattention—become theirs as well.
  • The majority of AI systems used in commercial applications—the ones that mediate our access to services like jobs, credit, and loans— are proprietary, their algorithms and training data kept hidden from public view. That makes it exceptionally difficult for an individual to interrogate the decisions of a machine or to know when an algorithm, trained on historical examples checkered by human bias, is stacked against them. And forget about trying to prove that AI systems may be violating human rights legislation.
  • Data is essential to the operation of an AI system. And the more complicated the system—the more layers in the neural nets, to translate speech or identify faces or calculate the likelihood someone defaults on a loan—the more data must be collected.
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  • But not everyone will be equally represented in that data.
  • And sometimes, even when ample data exists, those who build the training sets don’t take deliberate measures to ensure its diversity
  • The power of the system is its “ability to recognize that correlations occur between gender and professions,” says Kathryn Hume. “The downside is that there’s no intentionality behind the system—it’s just math picking up on correlations. It doesn’t know this is a sensitive issue.” There’s a tension between the futuristic and the archaic at play in this technology. AI is evolving much more rapidly than the data it has to work with, so it’s destined not just to reflect and replicate biases but also to prolong and reinforce them.
  • Accordingly, groups that have been the target of systemic discrimination by institutions that include police forces and courts don’t fare any better when judgment is handed over to a machine.
  • A growing field of research, in fact, now looks to apply algorithmic solutions to the problems of algorithmic bias.
  • Still, algorithmic interventions only do so much; addressing bias also demands diversity in the programmers who are training machines in the first place.
  • A growing awareness of algorithmic bias isn’t only a chance to intervene in our approaches to building AI systems. It’s an opportunity to interrogate why the data we’ve created looks like this and what prejudices continue to shape a society that allows these patterns in the data to emerge.
  • Of course, there’s another solution, elegant in its simplicity and fundamentally fair: get better data.
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