Spoiler Alert: Hungarians allegedly threw this enigma machine into a pig sty near the Czech/Polish border. Literally sloppy.
Amazon basically operates like the mob by seeking markets where regulation or justice is too weak to stop it from taking payments for unethical business practices.
It allegedly will muscle into markets as an engine of exploitation, which measures margin in the amount of harms it can get away with. Some say this is “natural” in the sense that it fits a pattern of American history:
Inequality in America was not born of the market’s invisible hand. It was not some unavoidable destiny. It was created by the hands and sustained effort of people who engineered benefits for themselves, to the detriment of everyone else.
Thus it somewhat predictably has been accused of building “successful growth” on fake and unsafe services and products that damage or kill, with no accountability to itself for the widespread harms carried by others.
Moreover, such ill-gotten profits seem intentional as they are concentrated into the hands of one man who spends a very small percentage on attempts to fix harms. Just a few examples:
- “Amazon has a counterfeit book problem. But it isn’t really a problem for Amazon itself…”
- “Amazon has a history of allowing media that contains dubious scientific claims on its platform…”
- “The Amazon fraud epidemic…”
- “Inside Amazon’s Fake Review Economy…”
- “Amazon’s Enforcement Failures Leave Open a Back Door to Banned Goods… Sold and Shipped by Amazon Itself“
- “Amazon gives extremists and neo-Nazis banned from other platforms unprecedented access to a mainstream audience — and even promotes [dangerous and violent hate].”
- “Amazon’s gigantic, decentralized, next-day delivery network brought chaos, exploitation, and danger to communities across America.”
- “While the scale and severity may vary, a single theme often unites each newsworthy incident: An unsecured Amazon…”
- “Amazon executive Joy Covey was killed [while riding her bike by a] van delivering Amazon packages….”
Here’s a deeper look into one case (pun not intended) that has been going on for a while now, where we can see flagrant violation of health for profits.
Consumer Reports in 2020 has called out Amazon’s “Starkey” brand water bottled in Idaho because it violates safe standards that limit contaminants in water.
The bottled water, sold in most Whole Foods stores and on Amazon.com, was the only brand of the 45 tested by Consumer Reports scientists between February and May of this year that exceeded 3 parts per billion (ppb)…. Last year, CR tests found Starkey Spring Water exceeded the federal level…
Amazon was the ONLY brand of 45 tested to fail the arsenic test. Many had untraceable amounts, which is great when you look at how dangerous arsenic is to human health.
Note that the report points out it also failed last year.
And before that?
FDA told Whole Foods that tests had found levels as high as 12 ppb, which resulted in recalls of the water in 2016 and 2017… legal to sell in a bottle across the U.S., but it would be illegal if it came out of the tap…
Recalled in 2016 and 2017, failed tests in 2019 and 2020. Why is this water, which would be illegal to sell if it came from a tap, still being bottled and sold by Amazon?
Amazon explains on their Starkey information site in 2020 that trying to make this water safer would impact Amazon profits, so they’re not doing it.
Arsenic levels above 5 ppb and up to 10 ppb are present… it does contain low levels of arsenic. The standard balances the current understanding of arsenic’s possible health effects against the costs of removing arsenic from drinking water.
Possible health effects “balanced” is how they refer to not making their water safe for consumption.
Possible health effects?
Let it sink in how incredibly vague and misleading Amazon is being on a scientific topic of arsenic in order to say they won’t protect consumers from known harms. They should not be allowed to just casually blow off the harms as “possible health effects”.
Again, Amazon is the only brand of 45 to fail this test. Other brands have untraceable amounts. Nearly 50 competing brands are able to “balance” the correct way by investing in controls for their products to be safe. Why doesn’t Amazon?
Starkey clearly states in their safety report they have decided not to invest in removing arsenic to safe levels, because they believe they can get away with it.
Amazon also clearly promotes this unsafe product with “bottled in Idaho” as if that’s a helpful reference, yet does not include anywhere Idaho Department of Environmental Quality water contamination warnings:
Arsenic is a problem in some parts of Idaho.
“Some parts” is a reference to the area of Idaho (southwestern corner) where Starkey water is sourced.
In fact, that red area that shows up on the Idaho contaminant map stands out as being worst levels in the entire US.
In summary, Amazon is selling water from the most arsenic contaminated region of the US, putting it into harmful single-use plastic bottles, and continues to sell it despite years of public safety test failures.
Years ago I wrote about the secret history that lurks behind a famous American dessert.
Nobody else, at least to my knowledge, has been thinking and writing about the supply-chain vulnerability management required for America to promote itself as home of the banana split.
Now there’s an interactive map of supply-chain vulnerabilities, which seems like it would be ideal for speeding up research and illustrating stories like the one I wrote.
FEW-View™ is an online educational tool that helps U.S. residents and community leaders visualize their supply chains with an emphasis on food, energy, and water. This tool lets you see the hidden connections and benchmark your supply chain’s sustainability, security, and resilience.
FEW-View™ is developed by scientists at Northern Arizona University and at the Decision Theater® at Arizona State University. FEW-View™ is an initiative of the FEWSION™ project, a collaboration between scientists at over a dozen universities (https://fewsion.us/team/).
FEWSION™ was founded in 2016 by a grant from the INFEWS basic research program of the National Science Foundation (NSF) and the U.S. Department of Agriculture (USDA). The opinions expressed are those of the researchers, and not necessarily the funding agencies.
However, there are two problems I see already with the map. First, it doesn’t go backward in time. The illustrations would be far more useful if I could pivot through 1880 to 1980. Second, the interactive maps allow you to break out a booze category but I have yet to find a way to filter on bananas and pineapples let alone ingredients for three flavors of ice cream.
For some in America the “Holiday” weeks of December are an extremely painful time of American history.
The state of Minnesota, for example, was founded on deception and violence to steal land from Native Americans and culminated this month in 1862.
The Minnesota Historical Society (MNHS) explains how the encroaching U.S. sparked an intense war with Native Americans that ended in an unfair trial with a very large number of unjust executions:
The trials of the Dakota were conducted unfairly in a variety of ways. The evidence was sparse, the tribunal was biased, the defendants were unrepresented in unfamiliar proceedings conducted in a foreign language, and authority for convening the tribunal was lacking. More fundamentally, neither the Military Commission nor the reviewing authorities recognized that they were dealing with the aftermath of a war fought with a sovereign nation and that the men who surrendered were entitled to treatment in accordance with that status.
MNHS also relates how Dakota leaders have been recorded as clearly humane and civilized in their rationalizations of self-defense, yet received barbaric treatment by the white nationalist militants they fought against:
You have deceived me. You told me that if we followed the advice of General Sibley, and gave ourselves up to the whites, all would be well; no innocent man would be injured. I have not killed, wounded or injured a white man, or any white persons. I have not participated in the plunder of their property; and yet to-day I am set apart for execution, and must die in a few days, while men who are guilty will remain in prison. My wife is your daughter, my children are your grandchildren. I leave them all in your care and under your protection. Do not let them suffer; and when my children are grown up, let them know that their father died because he followed the advice of his chief, and without having the blood of a white man to answer for to the Great Spirit.
Those of the Dakota men who had fought in the war already had retreated for winter, or had been killed and very few captured. The U.S. military decided it wasn’t staffed to pursue the warriors.
In other words the only Dakota people brought into custody by the U.S. military were elderly, women, and children; nearly 2,000 people who had nothing to do with the war were seduced with a promise of care and then death-marched for days into a concentration camp to be abused and die.
They lost everything. They lost their lands. They lost all their annuities that were owed them from the treaties. These are people who were guilty of nothing.
Just as many of the Dakota were very obviously peaceful and kind people at the time, some whites did try to take the opposite and moral stand, to account for white settler crimes against humanity:
Henry Whipple, traveled to Washington to meet with Lincoln; he explained to the president that Dakota grievances stemmed in large part from the greed, corruption, and deceit of government agents, traders, and other whites. Lincoln took what he called “the rascality of this Indian business” into consideration and granted clemency to most of those sentenced to die.
This appeal for sanity was far from being sufficient to curtail what the Minnesota Governor proclaimed in his public platform of genocide: “The Sioux Indians of Minnesota must be exterminated…“.
Minnesota History Magazine further relates that a prominent leader of the Dakota people a year later was murdered by white settlers who simply noticed him eating wild raspberries and decided on that basis alone to illegally hunt, kill, decapitate and scalp a human:
Even if a state of war had existed in 1863, the Lamsons’ action could not be defended as legal. They were mere civilians, who under international law have no right to take up arms against the enemy and who will be
hanged summarily if they do. The ordinary law of murder would apply to them. […] If killing in reliance upon the adjutant general’s orders would be murder under the law in force in 1863, obviously killing before any orders were issued would be an even stronger case of murder. Thus Little Crow was tendered a posthumous apology. One must reach the conclusion that in strict law the Lamsons were provocateurs and murderers.
Shot on sight without any questions. Think about that. Little Crow was a man nationally recognized and celebrated, a hero of America who had negotiated the Treaties of Traverse des Sioux and Mendota in 1851.
Yet he was illegally shot dead on sight without question because… he was not white.
Back to the start of this blog it also was Little Crow who had negotiated a band of Dakota from their massive 25 million acre territory into a tiny (20 mile by 70 mile) reservation.
There were many tens of thousands of Native Americans said to be in the region at the time, although soon they were vastly outnumbered and under constant threat.
In 1850, the white population of what would soon be the state of Minnesota stood at about 6,000 people. The Indian population was eight times that, with nearly 50,000 Dakota, Ojibwe, Winnebago and Menominee living in the territory. But within two decades, as immigrant settlers poured in, the white population would mushroom to more than 450,000.
In other words, by the war of 1862 (and after he was coerced into an even worse treaty in 1858), Little Crow was known as the Dakota leader who had taken a principled and fair stand to protect his followers against his former trading partner U.S. General Sibley.
The U.S. government allegedly had offered the Dakota only a few cents per acre for their entire ceded territory space in treaties, and gave promises of annuity payments and food supplies.
Yet while the Dakota land was taken away, those agreed upon payments and food never arrived.
It was this context behind the fact that white settlers flooded the area historically inhabited by Dakota, backing the Dakota into a corner and literally starving them out.
Congress passes the Homestead Act, a law signed by President Abraham Lincoln on May 20, 1862, offering millions of acres of free land to settlers who stay on the land for five years. The act brings 75,000 people to Minnesota over three years. To qualify for 160 free acres, settlers have to live on it for five years, farm and build a permanent dwelling. Those able to spend the money can buy the 160 acres at $1.25 an acre after living on it for six months.
The federal government was effectively buying land for cheap and then selling 160 acre parcels of it at either $200 (20X the cost) or for five years of farming and construction.
Since the tiny allocated reservation space for the Dakota wasn’t producing any food, and the U.S. government was intentionally withholding payments and supplies to survive on, huge numbers of Dakota faced a starvation-level situation. No wonder they demanded quick restitution.
On top of that white settlers illegally had been violating the agreement by encroaching into even the tiny Dakota reservation area.
The Dakota faced no choice but to reassert rights to their money, food and land that they already had negotiated.
Tension grew from the U.S. refusing to help, withholding food and money from the now trapped Dakota population in an attempt to “force conformance to white ideals” of a “Christian” lifestyle.
While Dakota parents watched their children starve to death, pork and grain filled the Lower Sioux Agency’s new stone warehouse, a large square building of flat, irregularly shaped stones harvested from the river bottoms. […] “So far as I’m concerned, if they are hungry, let them eat grass or their own dung,” [warehouse owner] Myrick said.
The U.S. strategically reneged on agreements and intentionally starved Dakota populations into desperation, before ultimately using attempts at self-defense as justification for mass unjust executions and murder. This was followed by Minnesota settlers banishing the native population entirely from their own historic territory under penalty of death into concentration camps, offering rewards to anyone who could trap and kill the Native Americans (Minnesota’s government offered a reward up to $200 — roughly $4000 in 2019 terms — for non-white human scalps).
At a higher level the race in 1862 to settle territory inhabited and owned by Native Americans had been complicated the year before by militant southern states starting a Civil War to violently force expansion of slavery into any new states. Thus, just as John Brown’s attempt to incite abolition got him executed in 1859 as a “traitor” to America, the Dakota people fighting for freedom from tyranny three years after in 1862 were unjustly tried by Minnesota settlers and executed on December 26.
Old John Brown's body lies moldering in the grave, While weep the sons of bondage whom he ventured all to save; But tho he lost his life while struggling for the slave, His soul is marching on. John Brown was a hero, undaunted, true and brave, And Kansas knows his valor when he fought her rights to save; Now, tho the grass grows green above his grave, His soul is marching on. He captured Harper's Ferry, with his nineteen men so few, And frightened "Old Virginny" till she trembled thru and thru; They hung him for a traitor, they themselves the traitor crew, But his soul is marching on.
Trips to relive famous tactical events sounds in this podcast like something we could do a lot more of for information security.
…military historian Len Fullenkamp reflects on the importance of immersing oneself in the minds of strategic leaders facing dynamic and complex situations. One tool is the staff ride, an opportunity to walk a battlefield and understand the strategic perspective of the leaders…
I’ve walked countless battlefields and tried to relive the decisions of the time. One of the most unforgettable was a trench line perfectly preserved even to this day on a ridge that held off waves of attacks for several sleepless days.
On another long-gone battle ground I stumbled upon three live bullets that had been abandoned for decades, slowly rusting into the ground atop a lookout. I held them in my hand and stared across the dusty exposed road below for what seemed like hours.
Yet I rarely if ever have seen a similar opportunity in the field of security I practice most today. Has anyone developed a “staff ride” for some of the most notorious disasters in security leadership such as Equifax, Target, Facebook…? That seems useful.
In this podcast the speaker covers the disastrous Pickett’s charge by pro-slaveholder forces in America. After two-days investment the bumbling General Lee miscalculated and ordered thousands of men to their death in what he afterwards described plainly as “had I known…I would have tried something different”.
Fullenkamp then goes from this into a long exploration of risk management until he describes leadership training on how to make good decisions under pressure:
What is hard is making decisions in the absence of facts.
Who could be the Fullenkamp of information security, taking corporate groups to our battlefields for leadership training?
Also I have to point out Fullenkamp repeats some false history, as he strangely pulls in a tangent about how General Grant felt about alcohol. Such false claims about Grant have been widely discredited, yet it sounds like Fullenkamp is making poor decisions with an absence of facts.
Accusations of alcoholism were a smear and propaganda campaign, as historians today have been trying to explain. For example:
Grant never drank when it might imperil his army. […] Grant, in a letter to his wife, Julia, swore that at Shiloh, he was “sober as a deacon no matter what was said to the contrary.”
We know today what actually happened was a concerted group of white supremacist historians of a defeated pro-slavery war machine began a campaign to posthumously destroy the character of Grant, to undermine his widespread popularity and programs of civil rights.
After Grant’s death, exaggerated stories about his drinking became ingrained in American culture.
First, the truth of charges against Grant are related to America’s pre-Civil War political and military patronage system (corruption basically) being unkind to him. He succeeded in spite of them and he was living proof of someone using the past to better understand the present.
After extensive experience fighting in all major battles of the Mexican-American War he didn’t sit well being idle and under-utilized. He was introverted and critical of low performing peers. A superior officer in California used minor charges of alcohol as a means to exercise blunt authority over the brilliant Grant.
Second, it was KKK propaganda campaigns of prohibition that pushed the false idea that Grant’s dispute with his superior was some kind of wild and exaggerated issue relevant to prohibition.
In fact history tells us how pro-slavery Generals literally became so drunk during battles they disappeared and were useless, every single time they fought. The KKK projected those real alcoholic events from pro-slavery leadership onto Grant to obscure their own failed history and try to destroy his name.
Apparently it worked because it’s 2019 and far past time for people to stop repeating shallow KKK propaganda about America’s greatest General and one of the greatest Presidents.
A Harvard man walks into a wildlife protection demo and an AI system made by Intel labels him a poacher. His reaction is fascinating (which I will detail below). He criticizes machines in a way that seems just as fitting for humans. Would he have reacted the same to a human labeling him in this manner? Even more interesting is the man labeled a poacher is from an institution (Harvard) that has been known to perpetuate injustices like poaching.
This incident begs the question of whether we should expect human intelligence to be criticized as often or vocally as machine intelligence. I mean is it right to expect more of machines than humans in this scenario? I’d like to explore with this post whether humans of “Harvard intelligence” could be expected to pass the bar set by Harvard for a machine of “Artificial intelligence”.
In other words what if people who graduate from Harvard, who claim to be intelligent, exhibited the same or worse behavior as a machine labeling people poachers in the wildlife protection demo?
POACHER: A poacher is generally defined as someone who unfairly or dishonestly takes and uses something for themselves when it belongs to someone else. Here’s some insightful data on poaching and regulation:
HARVARD: Harvard is generally defined as a school with a tarnished legacy that today remains affiliated with white men in positions of power who display very questionable ethics (Pompeo, Kobach, Zuckerberg…). Here’s a perfect example:
Harvard University is profiting from of one of the earliest known photographs of an enslaved man, despite requests by his descendants to stop doing so, the man’s great-great-great-granddaughter says in a lawsuit…
A little deeper inquiry into that lawsuit reveals that Harvard was heavily invested in perpetuating white supremacy doctrines even after the US Civil War forcefully decided blacks should no longer have their bodies taken unfairly or dishonestly for use by white men.
In 1865, just as emancipation was being secured in the United States, [Harvard professor] Agassiz had more than a hundred photos taken of nude African-descended Brazilians to build support for white supremacy and polygenesis. With slavery in the United States ended, Agassiz’s work became even more critical: In a moment when America’s future regarding race was highly malleable, building a scientific foundation to support continued white supremacy was even more of an imperative.
Harvard has been extremely slow not only to address its racist and unethical foundations, which supported unfair and dishonest practices, it should concern everyone the number of white supremacists even today who have Harvard degrees. Shouldn’t they fail tests of intelligence?
INTELLIGENCE: Intelligence is defined here with Gottfredson’s perspective that it relates to a broad and deep capability for comprehending surroundings, such as making sense or figuring out what to do. For example, what should Harvard do when asked to stop unfairly or dishonestly taking and using something for themselves?
Example of Harvard “intelligence”
Kris Kobach of Kansas (KKK) is a good example as he earned a BA degree in Government in 1988, earning distinction for being top student in his department. We also should include Kobach’s adviser (trainer, if you will), the director of Harvard’s Center for International Affairs, Professor Samuel P. Huntington.
Huntington infamously taught Kobach nativist doctrine such as how to block non-white participation in government. One of the crazy theories was that people of Central and South America who enter the US pose an existential threat to the “American identity.”
Mexican intellectual Enrique Krauze described Huntington’s method as a “crude civilizational approach.” Carlos Fuentes called Huntington “profoundly racist and also profoundly ignorant” and accused him of adopting the favored fascist tactic of creating a generalized fear of “the other.” Henry Cisneros noted that Professor Huntington was “hand-wringing over the tainting of Anglo-Protestant bloodlines.” Andres Oppenheimer of Miami called Huntington’s work “pseudo-academic xenophobic rubbish” and called for national protests against Harvard University and publisher Simon & Schuster. Even those sympathetic to Huntington’s anxiety about Mexican immigration stood their distance. Alan Wolfe said that at times Huntington’s writing bordered on hysteria, and that he appeared to be endorsing white nativism. The editors of the British magazine The Economist questioned Huntington’s notion of Anglo Protestant culture, noting that it had been “a long time since the Mayflower.”
Kobach earned top honors in government theory in the late 1980s, and trained under this obviously racist and xenophobic adviser. Can you can guess, based on world political events at that time, what came next?
In 1990 (given the fall of South Africa’s apartheid was still four years away) Kobach published a pro-apartheid book titled “Political Capital: The Motives, Tactics, and Goals of Politicized Businesses in South Africa” (University Press of America).
Kobach wrote about a white police state as good for business. He seemed to think beating down non-white populations (those seeking equal rights with white police) was how to push wealth into white hands just as a matter of “peace keeping”.
Technically speaking he wrote “strict Verwoerdian apartheid enforced with an iron fist can be seen as a route to a more stable South Africa”. You can see it even on page 28 from his Harvard thesis:
After graduation and publication of pro-apartheid screed Kobach then embarked on a life quest “to enact a nativist agenda, often from within the government.”
In other words, intelligence doesn’t seem like the right word to describe a top student from Harvard. He did the wrong things over and over. What if a machine made these same mistakes? He literallyu made a career out of falsely labeling humans and declaring them a threat based on completely debunked white supremacist theories of species preservation (nativism).
Harvard criticism of Artificial “intelligence”
Fast forward to today’s debate on AI ethics and we have a Harvard man saying an “intelligent” system has unfairly labeled him a poacher, much to his astonishment.
Hey, did that system read history and know he was from Harvard, an institution known for its unauthorized appropriations? No.
Does looking at someone’s training environment, and probability of learning selfish supremacy doctrines, seem like a good way to find people who favor poaching? Maybe.
Those ideas are far more complicated as learning models than what actually happened. The label of poacher turns out to be very easily explained.
First, Kudos certainly go to Latonero for speaking out from within the horribly tarnished halls of Harvard.
His article does seem a little overly “why me” and primarily concerned for his own welfare, yet it makes a fair point that he doesn’t understand the authority or perspective of the system labeling him.
Walking through the faux flora and sounds of the savannah, I emerged in front of a digital screen displaying a choppy video of my trek. The AI system had detected my movements and captured digital photos of my face, framed by a rectangle with the label “poacher” highlighted in red. […] I couldn’t help but wonder: What if this happened to me in the wild? Would local authorities come to arrest me now that I had been labeled a criminal? How would I prove my innocence against the AI? Was the false positive a result of a tool like facial recognition, notoriously bad with darker skin tones, or was it something else about me? Is everyone a poacher in the eyes of Intel’s computer vision?
Second, at no point does he say, for example, 35,000 poached elephants is a catastrophe worthy of solving. Is there a case to be made for labeling ever? Perhaps this is one place where simple labels make sense, as a piece of a puzzle that trends towards more sophisticated answers and broader actions.
Those deaths are approaching extinction level threats, and the elephants are in natural prisons where no human should be…hold that thought.
Latonero gets a good and clear answer to his question and just brushes it off as insufficient.
When I reached out to the head of Intel’s AI for Good program for comment, I was told that the “poacher” label I received at the TrailGuard installation was in error—the public demonstration didn’t match the reality. The real AI system, Intel assured me, only detects humans or vehicles in the vicinity of endangered elephants and leaves it to the park rangers to identify them as poachers.
There we go. Intel clearly says a simplistic algorithm is looking for humans within a space that is authorized only for animals. When a human enters the space they are labeled a poacher because they do not have authorization, and it is assumed they entered unfairly or dishonestly.
I can understand Latonero was shocked to be labeled “unauthorized”. He probably wouldn’t have thought twice if the screen said that, or even just said “human”, instead of making the logical connection to unauthorized access being a poacher.
Walking around at a “MIT conference on emerging AI technology” he felt entitled to enter a space and approach the sensor. He did not appreciate being told his actions were a violation and linked to extinction-level threats.
It sounds perhaps like what a Mexican immigrant to Texas (a state forcibly taken from Mexico) might feel when being labelled by Kobach as a violation and an extinction-level threat.
Using the Harvard critique of intelligent systems to assess Harvard graduates
Ok, now imagine Kobach is that AI system that Latonero walks up to. Let’s say Latonero is an American migrating into the US. Kobach would then label Latonero a threat and…nothing seems to happen. Am I right here?
I don’t see any Harvard ethics experts lining up to warn us of the “intelligent” people emerging from Harvard training who use simplistic and dangerous labels to harm society.
Again, I can give kudos to a Harvard expert calling attention to simplistic labeling and calling it less than intelligent, yet I have to point out his warnings would be far more appropriate to issue a take-down on Kobach and ban him from any authority or office.
Graduates of Harvard who perpetuate its awful past and poaching ways are far worse than the AI system that Latonero is warning about.
We should fix both humans and machine, and by comparison we have easy solutions ready for the latter…but the real question here is whether an AI system designed to protect humanity from poachers would be seen as accurate if it labels Kobach as existential threat to society.
After all, a Harvard affiliation really could get classified as probable poacher
And on that note the parallels are closer than you might realize:
…Kris Kobach is having a tough time finding support for a plan that would allow the [2012 Kansas] governor to distribute 12 big-game hunting permits at his discretion.
In other words Kobach literally tried to pass a law to bypass wildlife safety authorities, which would shield himself/associates from being labeled a poacher. He could literally hand out a sort of get-out-of-jail card, the sort of thing the KKK were famous for using during prohibition to limit alcohol to whites only.
Kobach’s failure to pass a self-entitlement bill led to this embrace in early 2016 with an infamous elephant killer:
Kansas Secretary of State Kris Kobach sports an orange hunting cap, a long gun and a wide grin as he stands alongside the president’s son and 20 dead pheasants.
And that meeting was followed by this 2018 policy failure at the national level:
…Trump announced that the lifting of the ban [on import of dead elephant] was on hold, pending further review. In a follow-up tweet, he went on to say he’d “be very hard pressed to change my mind that this horror show in any way helps conservation of Elephants or any other animal.”
Hopefully this post has helped explain that Harvard makes the best case yet that Harvard should be criticizing Harvard more.
Update March 2021: The Crimson Klan
Despite Bond’s appeal to take [Harvard’s racist] history seriously, it is unclear the extent to which the University has, or will, reckon with its troubling ties to the Ku Klux Klan throughout the 20th century, which do not begin or end with the 1952 cross burning.
Michelle Obama, who obviously speaks truth to power, doesn’t believe at all in the “Lean In” concept. The title of this post comes from her being quoted in a new Wired story about the aristocratic methods of Facebook’s COO (referred to as an empress).
Wired points out how “Lean in” instead soon may be more known as some sick “shit”, fast becoming the “Let them eat cake” of our times.
The Wired piece is an excellent dive into the how and why Facebook leadership worked to hack people into bits they could profit from; a form of human exploitation and mining of assets.
The “chiefs” overseeing Facebook’s industrial-scale hacking of humans took on such aristocratic airs, there’s probably a book to be written about what that looked like in terms of mental health. They arguably have gone mad in their race for wealth accumulation.
Some of my neighbors in San Francisco literally lost their grip on reality by working one day a week in Facebook’s human exploitation mills, amassing piles of cash to spend on luxury goods and cake-filled offices and homes of isolationism.
The California Attorney General (AG) Xavier Bacerra has posted Proposed Regulations to implement the California Consumer Privacy Act of 2018 (CCPA). Bacerra also has posted a Notice of Proposed Rulemaking Action (NOPA) and an Initial Statement of Reasons (ISOR).
Critics already are playing up that they can’t do business if they have to follow regulations set to protect privacy of consumers. These lobbying types are, of course, peddling risk management nonsense in the face of far too many breaches and a long slide downward of consumer confidence in data platforms.
The current round of criticism reminds me of those opposed to food safety regulations even after Upton Sinclair’s 1906 book The Jungle pointed out how rats and workers’ body parts were being ground up and shipped as sausage.
Cloud providers are like sausage factories, especially the largest ones, and for far too long have been allowed to operate without basic duties of care, deliberately avoiding innovation investment because avoiding accountability for harms. And yes, Facebook is the wurst.
Those of us actively innovating in information technology see regulations such as CCPA as welcome guard rails, which spur long overdue innovations in data platform controls and help the data platform market grow more safely.
The proposed regulations set out some clear “shall not” of consumer personal information:
(3) A business shall not use a consumer’s personal information for any purpose other than those disclosed in the notice at collection. If the business intends to use a consumer’s personal information for a purpose that was not previously disclosed to the consumer in the notice at collection, the business shall directly notify the consumer of this new use and obtain explicit consent from the consumer to use it for this new purpose.
(4) A business shall not collect categories of personal information other than those disclosed in the notice at collection. If the business intends to collect additional categories of personal information, the business shall provide a new notice at collection.
(5) If a business does not give the notice at collection to the consumer at or before the collection of their personal information, the business shall not collect personal information from the consumer.
They also set out clear timelines for requests to delete data:
(a) Upon receiving a request to know or a request to delete, a business shall confirm receipt of the request within 10 days and provide information about how the business will process the request. The information provided shall describe the business’s verification process and when the consumer should expect a response, except in instances where the business has already granted or denied the request.
(b) Businesses shall respond to requests to know and requests to delete within 45 days. The 45-day period will begin on the day that the business receives the request, regardless of time required to verify the request.
Presentations I have given over many years about cloud safety will reference the fact a ground fault circuit interrupt (GFCI) made toasters safe.
My point has been simply that virtual machines, containers, etc. have an abstraction layer that can benefit from a systemic approach to connectivity and platform safety, rather than pushing every instance to be armored.
The background to the toaster safety story is actually from a computer science (and EE) professor in the 1950s at Berkeley. He was researching physiological effects of electric shocks when applied to humans and animals to (pinpoint exactly what causes a heart to stop).
He narrowed the cause of death enough to patent an interrupt device for electric lines, which basically is a firewall at a connection point that blocks flow of current:
The first regulation requiring GFCI was for electricians working on swimming pools:
GFCIs are defined in Article 100 of the NEC as “A device intended for the protection of personnel that functions to de-energize a circuit or portion thereof within an established period of time when a current to ground exceeds the values established for a Class A device.” Class A GFCIs, which are the type required in and around swimming pools, trip when the current to ground is 6 mA or higher and do not trip when the current to ground is less than 4 mA.
Fast forward to cartoonists today and some obviously have completely missed the fact that selling consumers a firewall for connected toasters is a 50-year old topic with long-standing regulations.
A Chinese/German drone collaboration is delivering micro-dose poison at 14 hectares/hour and achieving a 98% kill-rate on armyworm.
Specifically, the drone atomises the pesticides into micron-level droplets, so the chemicals can evenly adhere to the surface of maize plants with higher coverage rate. The strong downdraft generated by the propellers can significantly reduce liquid drifting and increase pesticide deposition, which means that both sides of the leaves and the central part of crops can be more precisely targeted. Such mechanism can not only increase fall armyworm’s exposure to chemicals but also cut down a large amount of pesticide use and better conserve the beneficial insects.
Targeting sounds like it’s more of a “bracketing” spray than an injection into each worm on a leaf, although the drone company suggests they are looking into worm-recognition capabilities.
Targeting the individual worms instead of plant-level dosing still seems cost-prohibitive in this story. To achieve that accuracy I think we’d be talking Integrated Pest Management (IPM) with technology-augmented insects, or micro-drones, instead of these sprayers.
Perhaps soon there will be Integrated Drone Management (IDM) appearing in agricultural operations centers where augmented bugs are deployed from drones like static-line parachute jumpers.
Many years ago when we were starting research on how to stop drones setup as biological weapons, we looked at them as flying bombs in the same way the Italian fascist military dropped mustard gas on field-hospitals and ambulances.
Chinese agriculture, however, clearly is being driven to develop more highly-efficient low-dose toxin delivery at a micro-target levels. That kind of emphasis in tooling accuracy means drones soon may advance past U.S. bladed assassination missiles, innovating so quickly we will have to update the risk discussions.
To be fair, five years ago any kind of anti-drone methods to stop weaponized versions meant a specific audience where examples needed to be general. Today it seems a general audience is open to hearing what harms may be ahead and more specific examples are more welcome.
Unfortunately what I must emphasize most today isn’t just how drones rapidly move towards highly-targeted assassination methods for something labelled pest. I must also point out members of our security community actively have been found labeling non-whites as pests. Beware people advertising themselves as deserving authority to protect humans from harm, who may in fact be enabling and promoting harm through technology.
Meanwhile, in Japan, a drone is being created to replace pesticides at a more macro level. Ducks have been used to eat weeds and pests in rice paddies, avoiding the need for toxic chemicals. So someone decided they would attempt to replace the ducks with a robotic one.
Immediate downsides that come to mind are 1) the lack of fertilizer byproduct from robot collecting instead of digesting the weeds and bugs and 2) the lack of meat byproduct from eating the ducks before rice harvest (ducks have to be removed anyway or they’ll eat the rice).