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Contra Robert Shiller on Cryptocurrencies – Article by Adam Alonzi

Contra Robert Shiller on Cryptocurrencies – Article by Adam Alonzi

Adam Alonzi


While warnings of caution can be condoned without much guilt, my concern is critiques like Dr. Shiller’s (which he has since considerably softened) will cause some value-oriented investors to completely exclude cryptocurrencies and related assets from their portfolios. I will not wax poetically about the myriad of forms money has assumed across the ages, because it is already well-covered by more than one rarely read treatise. It should be said, though it may not need to be, that a community’s preferred medium of exchange is not arbitrary. The immovable wheels of Micronesia met the needs of their makers just as digital stores of value like Bitcoin will serve the sprawling financial archipelagos of tomorrow. This role will be facilitated by the ability of blockchains not just to store transactions, but to enforce the governing charter agreed upon by their participants.

Tokens are abstractions, a convenient means of allotting ownership. Bradley Rivetz, a venture capitalist, puts it like this: “everything that can be tokenized will be tokenized the Empire State Building will someday be tokenized, I’ll buy 1% of the Empire State Building, I’ll get every day credited to my wallet 1% of the rents minus expenses, I can borrow against my Empire State Building holding and if I want to sell the Empire State Building I hit a button and I instantly have the money.” Bitcoin and its unmodified copycats do not derive their value from anything tangible. However, this is not the case for all crypto projects. Supporters tout its deflationary design (which isn’t much of an advantage when there is no value to deflate), its modest transaction fees, the fact it is not treated as a currency by most tax codes (this is changing and liable to continue changing), and the relative anonymity it offers.

The fact that Bitcoin is still considered an asset in most jurisdictions is a strength. This means that since Bitcoin is de facto intermediary on most exchanges (most pairs are expressed in terms of BTC or a major fiat, many solely in BTC), one can buy and sell other tokens freely without worrying about capital gains taxes, which turn what should be wholly pleasurable into something akin to an ice cream sundae followed by a root canal. This applies to sales and corporate income taxes as well. A company like Walmart, despite its gross income, relies on a slender profit margin to appease its shareholders. While I’m not asking you to weep for the Waltons, I am asking you to think about the incentives for a company to begin experimenting with its own tax-free tokens as a means of improving customer spending power and building brand loyalty.

How many coins will be needed and, for that matter, how many niches they will be summoned to fill, remains unknown.  In his lecture on real estate Dr. Shiller mentions the Peruvian economist Hernando De Soto’s observation about the lack of accounting for most of the land in the world.  Needless to say, for these areas to advance economically, or any way for that matter, it is important to establish who owns what. Drafting deeds, transferring ownership of properties or other goods, and managing the laws of districts where local authorities are unreliable or otherwise impotent are services that are best provided by an inviolable ledger. In the absence of a central body, this responsibility will be assumed by blockchain. Projects like BitNation are bringing the idea of decentralized governance to the masses; efforts like Octaneum are beginning to integrate blockchain technology with multi-trillion dollar commodities markets.

As more than one author has contended, information is arguably the most precious resource of the twenty first century. It it is hardly scarce, but analysis is as vital to making sound decisions. Augur and Gnosis provide decentralized prediction markets. The latter, Kristin Houser describes it, is a platform used “to create a prediction market for any event, such as the Super Bowl or an art auction.” Philip Tetlock’s book on superforecasting covers the key advantages of crowdsourcing economic and geopolitical forecasting, namely accuracy and cost-effectiveness. Blockchains will not only generate data, but also assist in making sense of it.  While it is just a historical aside, it is good to remember that money, as Tymoigne and Wray (2006) note, was originally devised as a means of recording debt. Hazel sticks with notches preceded the first coins by hundreds of years. Money began as a unit of accounting, not a store of value.

MelonPort and Iconomi both allow anyone to start their own investment funds. Given that it is “just” software is the beauty of it: these programs can continue to be improved upon  indefinitely. If the old team loses its vim, the project can easily be forked. Where is crypto right now and why does it matter? There is a tendency for academics (and ordinary people) to think of things in the real world as static objects existing in some kind of Platonic heaven. This is a monumental mistake when dealing with an adaptive system, or in this case, a series of immature, interlocking, and rapidly evolving ecosystems. We have seen the first bloom – some pruning too – and as clever people find new uses for the underlying technology, particularly in the area of IoT and other emerging fields, we will see another bloom. The crypto bubble has come and gone, but the tsunami, replete with mature products with explicit functions, is just starting to take shape.

In the long run Warren Buffett, Shiller, and the rest will likely be right about Bitcoin itself, which has far fewer features than more recent arrivals. Its persisting relevance comes from brand recognition and the fact that most of the crypto infrastructure was built with it in mind. As the first comer it will remain the reserve currency of the crypto world.  It is nowhere near reaching any sort of hard cap. The total amount invested in crypto is still minuscule compared to older markets. Newcomers, unaware or wary of even well-established projects like Ethereum and Litecoin, will at first invest in what they recognize. Given that the barriers to entry (access to an Internet connection and a halfway-decent computer or phone) are set to continue diminishing, including in countries in which the fiat currency is unstable, demand should only be expected to climb.

Adam Alonzi is a writer, biotechnologist, documentary maker, futurist, inventor, programmer, and author of the novels A Plank in Reason and Praying for Death: A Zombie Apocalypse. He is an analyst for the Millennium Project, the Head Media Director for BioViva Sciences, and Editor-in-Chief of Radical Science News. Listen to his podcasts here. Read his blog here.

Review of Frank Pasquale’s “A Rule of Persons, Not Machines: The Limits of Legal Automation” – Article by Adam Alonzi

Review of Frank Pasquale’s “A Rule of Persons, Not Machines: The Limits of Legal Automation” – Article by Adam Alonzi

Adam Alonzi


From the beginning Frank Pasquale, author of The Black Box Society: The Secret Algorithms That Control Money and Information, contends in his new paper “A Rule of Persons, Not Machines: The Limits of Legal Automation” that software, given its brittleness, is not designed to deal with the complexities of taking a case through court and establishing a verdict. As he understands it, an AI cannot deviate far from the rules laid down by its creator. This assumption, which is not even quite right at the present time, only slightly tinges an otherwise erudite, sincere, and balanced coverage of the topic. He does not show much faith in the use of past cases to create datasets for the next generation of paralegals, automated legal services, and, in the more distant future, lawyers and jurists.

Lawrence Zelanik has noted that when taxes were filed entirely on paper, provisions were limited to avoid unreasonably imposing irksome nuances on the average person. Tax-return software has eliminated this “complexity constraint.” He goes on to state that without this the laws, and the software that interprets it, are akin to a “black box” for those who must abide by them. William Gale has said taxes could be easily computed for “non-itemizers.” In other words, the government could use information it already has to present a “bill” to this class of taxpayers, saving time and money for all parties involved. However, simplification does not always align with everyone’s interests. TurboTax’s business, which is built entirely on helping ordinary people navigate the labyrinth is the American federal income tax, noticed a threat to its business model. This prompted it to put together a grassroots campaign to fight such measures. More than just another example of a business protecting its interests, it is an ominous foreshadowing of an escalation scenario that will transpire in many areas if and when legal AI becomes sufficiently advanced.

Pasquale writes: “Technologists cannot assume that computational solutions to one problem will not affect the scope and nature of that problem. Instead, as technology enters fields, problems change, as various parties seek to either entrench or disrupt aspects of the present situation for their own advantage.”

What he is referring to here, in everything but name, is an arms race. The vastly superior computational powers of robot lawyers may make the already perverse incentive to make ever more Byzantine rules ever more attractive to bureaucracies and lawyers. The concern is that the clauses and dependencies hidden within contracts will quickly explode, making them far too detailed even for professionals to make sense of in a reasonable amount of time. Given that this sort of software may become a necessary accoutrement in most or all legal matters means that the demand for it, or for professionals with access to it, will expand greatly at the expense of those who are unwilling or unable to adopt it. This, though Pasquale only hints at it, may lead to greater imbalances in socioeconomic power. On the other hand, he does not consider the possibility of bottom-up open-source (or state-led) efforts to create synthetic public defenders. While this may seem idealistic, it is fairly clear that the open-source model can compete with and, in some areas, outperform proprietary competitors.

It is not unlikely that within subdomains of law that an array of arms races can and will arise between synthetic intelligences. If a lawyer knows its client is guilty, should it squeal? This will change the way jurisprudence works in many countries, but it would seem unwise to program any robot to knowingly lie about whether a crime, particularly a serious one, has been committed – including by omission. If it is fighting against a punishment it deems overly harsh for a given crime, for trespassing to get a closer look at a rabid raccoon or unintentional jaywalking, should it maintain its client’s innocence as a means to an end? A moral consequentialist, seeing no harm was done (or in some instances, could possibly have been done), may persist in pleading innocent. A synthetic lawyer may be more pragmatic than deontological, but it is not entirely correct, and certainly shortsighted, to (mis)characterize AI as only capable of blindly following a set of instructions, like a Fortran program made to compute the nth member of the Fibonacci series.

Human courts are rife with biases: judges give more lenient sentences after taking a lunch break (65% more likely to grant parole – nothing to spit at), attractive defendants are viewed favorably by unwashed juries and trained jurists alike, and the prejudices of all kinds exist against various “out” groups, which can tip the scales in favor of a guilty verdict or to harsher sentences. Why then would someone have an aversion to the introduction of AI into a system that is clearly ruled, in part, by the quirks of human psychology?

DoNotPay is an an app that helps drivers fight parking tickets. It allows drivers with legitimate medical emergencies to gain exemptions. So, as Pasquale says, not only will traffic management be automated, but so will appeals. However, as he cautions, a flesh-and-blood lawyer takes responsibility for bad advice. The DoNotPay not only fails to take responsibility, but “holds its client responsible for when its proprietor is harmed by the interaction.” There is little reason to think machines would do a worse job of adhering to privacy guidelines than human beings unless, as mentioned in the example of a machine ratting on its client, there is some overriding principle that would compel them to divulge the information to protect several people from harm if their diagnosis in some way makes them as a danger in their personal or professional life. Is the client responsible for the mistakes of the robot it has hired? Should the blame not fall upon the firm who has provided the service?

Making a blockchain that could handle the demands of processing purchases and sales, one that takes into account all the relevant variables to make expert judgements on a matter, is no small task. As the infamous disagreement over the meaning of the word “chicken” in Frigaliment v. B.N.S International Sales Group illustrates, the definitions of what anything is can be a bit puzzling. The need to maintain a decent reputation to maintain sales is a strong incentive against knowingly cheating customers, but although cheating tends to be the exception for this reason, it is still necessary to protect against it. As one official on the  Commodity Futures Trading Commission put it, “where a smart contract’s conditions depend upon real-world data (e.g., the price of a commodity future at a given time), agreed-upon outside systems, called oracles, can be developed to monitor and verify prices, performance, or other real-world events.”

Pasquale cites the SEC’s decision to force providers of asset-backed securities to file “downloadable source code in Python.” AmeriCredit responded by saying it  “should not be forced to predict and therefore program every possible slight iteration of all waterfall payments” because its business is “automobile loans, not software development.” AmeriTrade does not seem to be familiar with machine learning. There is a case for making all financial transactions and agreements explicit on an immutable platform like blockchain. There is also a case for making all such code open source, ready to be scrutinized by those with the talents to do so or, in the near future, by those with access to software that can quickly turn it into plain English, Spanish, Mandarin, Bantu, Etruscan, etc.

During the fallout of the 2008 crisis, some homeowners noticed the entities on their foreclosure paperwork did not match the paperwork they received when their mortgages were sold to a trust. According to Dayen (2010) many banks did not fill out the paperwork at all. This seems to be a rather forceful argument in favor of the incorporation of synthetic agents into law practices. Like many futurists Pasquale foresees an increase in “complementary automation.” The cooperation of chess engines with humans can still trounce the best AI out there. This is a commonly cited example of how two (very different) heads are better than one.  Yet going to a lawyer is not like visiting a tailor. People, including fairly delusional ones, know if their clothes fit. Yet they do not know whether they’ve received expert counsel or not – although, the outcome of the case might give them a hint.

Pasquale concludes his paper by asserting that “the rule of law entails a system of social relationships and legitimate governance, not simply the transfer and evaluation of information about behavior.” This is closely related to the doubts expressed at the beginning of the piece about the usefulness of data sets in training legal AI. He then states that those in the legal profession must handle “intractable conflicts of values that repeatedly require thoughtful discretion and negotiation.” This appears to be the legal equivalent of epistemological mysterianism. It stands on still shakier ground than its analogue because it is clear that laws are, or should be, rooted in some set of criteria agreed upon by the members of a given jurisdiction. Shouldn’t the rulings of law makers and the values that inform them be at least partially quantifiable? There are efforts, like EthicsNet, which are trying to prepare datasets and criteria to feed machines in the future (because they will certainly have to be fed by someone!).  There is no doubt that the human touch in law will not be supplanted soon, but the question is whether our intuition should be exalted as guarantee of fairness or a hindrance to moving beyond a legal system bogged down by the baggage of human foibles.

Adam Alonzi is a writer, biotechnologist, documentary maker, futurist, inventor, programmer, and author of the novels A Plank in Reason and Praying for Death: A Zombie Apocalypse. He is an analyst for the Millennium Project, the Head Media Director for BioViva Sciences, and Editor-in-Chief of Radical Science News. Listen to his podcasts here. Read his blog here.

U.S. Transhumanist Party / Institute of Exponential Sciences Discussion Panel on Cryptocurrencies

U.S. Transhumanist Party / Institute of Exponential Sciences Discussion Panel on Cryptocurrencies

Gennady Stolyarov II
Demian Zivkovic
Chantha Lueung
Laurens Wes
Moritz Bierling


On Sunday, February 18, 2018, the U.S. Transhumanist Party and Institute of Exponential Sciences hosted an expert discussion panel on how cryptocurrencies and blockchain-based technologies will possibly affect future economies and everyday life. Panelists were asked about their views regarding what is the most significant promise of cryptocurrencies, as well as what are the most significant current obstacles to its realization.

Gennady Stolyarov II, Chairman of the U.S. Transhumanist Party, and Demian Zivkovic, President of the Institute of Exponential Sciences, are the moderators for this panel.

Panelists

Moritz Bierling

Moritz Bierling, in his work for Exosphere Academy – a learning and problem-solving community – has organized a Space Elevator bootcamp, an Artificial Intelligence conference, and an Ethereum training course while also authoring a Primer on the emerging discipline of Alternate Reality Design. As Blockchain Reporter for the Berlin blockchain startup Neufund, he has educated the city’s Venture Capital and startup scene, as well as the broader public on the applications of this groundbreaking technology. His work has appeared in a number of blockchain-related and libertarian media outlets such as CoinTelegraph, The Freeman’s Perspective, Bitcoin.com, and the School Sucks Project. See his website at MoritzBierling.com.

Chantha Lueung

Chantha Lueung is the creator of Crypto-city.com, which is a social-media website focused on building the future world of cryptocurrencies by connecting crypto-enthusiasts and the general public about cryptocurrencies. He is a full-time trader and also participates in the HyperStake coin project, which is a Bitcoin alternative that uses the very energy-efficient Proof of Stake protocol, also known as POS.

Laurens Wes

Laurens Wes is a Dutch engineer and chief engineering officer at the Institute of Exponential Sciences. Furthermore he is the owner of Intrifix, a company focused on custom 3D-printed products and software solutions. He has also studied Artificial Intelligence and is very interested in transhumanism, longevity, entrepreneurship, cryptocurrencies/blockchain technology, and art (and a lot more). He is a regular speaker for the IES and is very committed to educating the public on accelerated technological developments and exponential sciences.

The YouTube question/comment chat for this Q&A session has been archived here and is also provided below.

Visit the U.S. Transhumanist Party Facebook page here.

See the U.S. Transhumanist Party FAQ here.

Become a member of the U.S. Transhumanist Party for free, no matter where you reside.

Become a Foreign Ambassador for the U.S. Transhumanist Party.

References

Chat Log from the Panel Discussion on Cryptocurrencies of February 18, 2018

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Blockchain Insurance Company – Short Story by G. Stolyarov II

Blockchain Insurance Company – Short Story by G. Stolyarov II

The New Renaissance Hat
G. Stolyarov II
April 2, 2015
******************************
This short story by Mr. Stolyarov was one of the entries in the Society of Actuaries’ 11th Speculative Fiction Contest.
Bitcoin-coins
***

“Welcome, Euclid Jefferson,” the metallic voice of Epac, the Electrically Powered Autonomous Car, intoned. The full identifier of Euclid’s vehicle was EPAC-930213, but they all responded to “Epac” for user convenience. “Where would you like to go today?”

“Epac, I would like to go to the San Francisco Hyperloop Station, please.”

“The trip will take approximately twenty-six minutes. Departing now. It is a fine day, and no weather or traffic obstacles are expected. Now is a good opportunity for you to view your insurance options for today. Shall I display them?”

“Epac, display. Anything new?”

“Yes, a major development that could save you money. Would you like a summary view or the full view with narration?”

“I am an actuary, so I am interested in the details of my coverages and prices. Epac, provide the full view, please.”

“Recently retired actuary” would have been a more precise description – though not retired forever. At age 50, Euclid Jefferson had saved enough money to be able to take the next ten years off. He had received his experimental rejuvenation treatments a week ago and was happy to feel as youthful and energetic as he did at the start of his career. After his ten-year break, he planned to receive the next round of treatments, which he hoped by then would become even more targeted and less invasive. He did not know whether his second career would be in another actuarial field, or in something else entirely. In the meantime, he looked forward to taking excursions on the newly constructed branches of the hyperloop network, which could bring him to any major metropolitan area on the North American continent within hours. After that, he would take the MoonX tourist shuttle to visit his wife, a geologist on the new International Lunar Research and Terraforming Base (ILRTB). She was due to retire and undergo rejuvenation treatments in just another six months.

“Displaying. Your automobile insurance policy premium declined by 1.32% over the past year. You have no-fault coverage for bodily injury and physical damage while occupying any vehicle in autonomous mode. You also carry the minimum limits required by the laws of this state for liability coverage in the event you engage manual mode. Your premium is proportional to miles driven. A multiplier of 500 applies to every mile driven in manual mode. I have identified a newly approved insurer who could offer you the same coverage at a 25% lower premium. Are you interested?”

“I am. Epac, what is this company?”

“Blockchain Insurance Company offers autonomous insurance for autonomous vehicles. You are eligible to get an annual policy for only 0.13 bitcoins.”

“Blockchain Insurance Company? I have never heard of it. Epac, is this a new entity?”

“It was just formed and approved to do business.”

“Epac, who owns it?”

“Anyone who contributes capital to the company owns a number of shares proportional to the contribution. The company pays its investors 10% of its profits as a dividend at the end of each year, while the remaining 90% are reinvested into operations. However, if losses exceed the company’s assets, the investors do not have limited liability. They are responsible for their proportional share of claim payments.”

“This is different. Epac, who manages the payments to investors, and who enforces collection of funds from them in the event of a shortfall?”

“There is no management. The company runs itself – on the blockchain. The public blockchain ledger keeps a record of the capital contributions from each account and the corresponding shares issued. A contractual algorithm is built into the blockchain to deposit and withdraw bitcoins to and from each shareholder’s account in proportion to the company’s profits and losses. Each policyholder has an account as well, which is tied to the policyholder’s bitcoin wallet, and from which premiums are drawn on a continuous basis in proportion to miles driven.”

“Epac, this involves very little nonpayment risk, I would imagine.”

“Correct. As long as bitcoins exist in the policyholder’s account, payment will be made. If the account is ever depleted, the policy simply terminates prospectively. Whenever only 30 days’ worth of bitcoins remain in the account, the policyholder is notified in real time via the car’s display screen and any connected mobile device, to give ample time to replenish the funds. The policyholder may also opt to cancel the policy at any time with no need to wait for a refund. The payment stream will simply stop, and coverage will exist up to the time of termination.”

“Epac, how does the algorithm know the miles driven?”

“The algorithm is linked to the telematic systems within each autonomous vehicle. As the vehicle is engaged, it reports live data to Blockchain Insurance Company. The company only needs to know two pieces of information: miles driven and the mode of operation – autonomous or manual. The rest of the premium is calculated and paid automatically.”

“Epac, does the formula for calculating the premium depend on any other variables?”

“Yes, the make and model of the vehicle still affect the frequency and severity of losses. On days with any declared weather emergency, the premium will also be higher due to the increased probability of an accident.”

Euclid Jefferson thought about it. He remembered, as a new property and casualty actuary during the first two decades of the twenty-first century, seeing hundreds of distinct characteristics being used to price an automobile insurance policy. Attributes ranging from an insured’s age and gender to his or her credit history, occupation, educational level, and prior insurance would be used. Back then, the trend had been toward increased complexity of rating plans, until virtually every personal attribute and behavior could affect an automobile insurance premium.

But circa 2020, the complexity of rating plans declined sharply. Because autonomous driving had eliminated virtually all accidents and fatalities that arose from human error, the characteristics of the vehicle occupant – who was most often not a driver at all – ceased to be relevant. The steep surcharge for manual operation was intended to discourage the engagement of manual mode, except in unavoidable emergencies. The premium rate per mile driven in autonomous mode, however, continued to decline. In 2035, Euclid Jefferson was paying a mere tenth of his 2015 automobile insurance premium. There were still enthusiasts who enjoyed the sensation of manual driving, but they could exercise their hobby on designated driving tracks where antique car shows were held and where specialty insurance companies provided discounted coverage for manual operation, as long as the vehicle was only driven on the track. Euclid Jefferson, however, had no nostalgia for the days of manual driving. He appreciated the time he gained to work, rest, read, and address financial obligations during his commute.

Now the first two decades of the twenty-first century were considered to be the tail end of a barbaric era. Euclid Jefferson, upon reflection, agreed. Getting onto the highway with un-augmented, error-prone humans operating high-speed projectiles was one of the most dangerous behaviors undertaken by large numbers of people during his first youth. Some people had even deliberately driven while intoxicated or distracted themselves by typing on their mobile phones. Over a million people had died of automobile collisions worldwide each year – until 2020. It took about five years longer than it should have for self-driving cars to be accepted, because too many people were afraid of what would happen if the autonomous systems failed, or were unsure about how liability for an accident would be determined if no human was driving the vehicle. They had to be acclimated to autonomous technology gradually, through incremental additions of features that helped with parking or corrected erratic lane shifts. Over the course of a few years, many cars became mostly self-driving, and the next step was not too drastic for the majority of people. The proliferation of reliable electric vehicles helped as well: the removal of the internal combustion engine reduced the severity of most accidents, while improved precision of design and manufacturing enabled vehicles to provide occupants a reasonable chance of survival even in crashes at immensely high speeds.

It was then that insurers recognized the potential for profit that would come with greatly reduced losses. Euclid Jefferson recalled how he overcame the reservations of the old guard at his insurance company, who were concerned that reduced losses would also mean reduced premiums, since premiums are priced to anticipate expected losses and expenses, along with a modest profit margin. He had to persuade them that the insurer would still be able to pay its fixed costs.

“Think about it this way: when a rate indication is developed for an insurance product, how often do you see just one year of historical data being used?” Euclid recalled posing this rhetorical question to his company’s management. “The best practice has long been to use the past several years. It may be that next year’s decline in losses is going to be unprecedented, but the past several years of higher losses will not yet have fallen outside the timeframe of the data considered. To be conservative in the face of an uncertain future, actuaries could project slightly decreasing loss trends and interpret the data to indicate modest decreases in premium, while losses hopefully continue to plummet faster than projected. After all, fewer losses mean that fewer people are hurt in accidents, and less property gets damaged. This is clearly in the interests of everyone.”

Enough insurers understood this argument, and those who underwrote autonomous vehicles enjoyed some unprecedented profits in the early 2020s. Euclid Jefferson recalled advocating an implied bargain of sorts: the public and policymakers would accept insurance temporarily priced far above costs, as long as absolute premiums paid by consumers continued to decline and would eventually settle at cost-based levels once more. In exchange, the insurance industry would eagerly write coverage for emerging technologies that would dramatically reduce the risk of loss.

The question of liability was resolved by developing no-fault coverage frameworks for autonomous vehicles in every jurisdiction. A policy covering an autonomous vehicle would provide first-party coverage, paying for injury to the vehicle’s occupants or damage to the vehicle in the event of an accident. Because virtually all remaining accidents were due to unforeseen weather conditions or infrastructure malfunctions, the question of fault was no longer even applicable to any human being inside the vehicle.

The key was to get the technologies adopted by the public and to save lives, and that meant removing barriers by getting the incentives of all parties to align. This was the real paradigm shift of the 2020s, when the insurance industry gained the appetite to introduce a flurry of new products, custom-tailored to devices and businesses that had not existed a decade before.

“Influencing such a shift is definitely an ample achievement for one career,” Euclid Jefferson concluded his reflections with pride. When he had retired, though, every insurance company he knew of was still managed by human beings; the blockchain concept and the complete automation of usage-based pricing and payment had not been implemented in insurance before, as far as he was aware.

“Epac, I have a few more questions. I understand how the pricing and payment for the policy would work, but claim handling would seem to require judgment. If an accident occurs, how would the extent of damage be identified and appropriately compensated?”

“Every Epac has logs and visual sensors that record every moment of operation. If an accident occurs, every detail is transmitted to Blockchain Insurance Company. A neural network algorithm then interprets the logs to determine which parts of the vehicle were damaged. The system also receives real-time price data for all replacement components within the area where the vehicle is garaged. Therefore, the policyholder is guaranteed coverage on the vehicle for full replacement cost.”

“Epac, so there is no deduction for depreciation of the vehicle over time? What about moral hazard?” Insurance was, after all, supposed to indemnify, not leave the claimant better off than he was before the accident.

“There is no deduction. Because virtually all vehicles are driven in autonomous mode, there is no moral hazard involved with replacing used vehicle components with new ones. If any occupant attempts to deliberately crash the vehicle in manual mode, the premium that will accumulate would quickly outpace any possible recovery. Also, the neural network can distinguish between vehicle movements characteristic of genuine accidents and those that would only occur if an accident were staged. If a pattern of vehicle movements is highly correlated with fraud, the algorithm will deny the claim.”

“So the transmission of data from the vehicle can enable the company to identify the amount of damage to the vehicle. But Epac, what about bodily injury claims? How can the company accurately pay those?”

“The injured person only needs to go to any medical practitioner and ask that the nature and cost of the procedure be reported to the company using a new entry within a separate encrypted ledger. The encrypted transaction is then posted to the blockchain, and only the medical practitioner and the injured party would have the private key to decode the encryption. Payment can be deposited directly into the medical practitioner’s bitcoin wallet, or can be reimbursed to the patient if the medical practitioner does not accept direct deposits from the company.”

“Epac, what if either the patient or the doctor lies about the medical procedure being related to the accident, or exaggerates the extent of injuries?”

“Because the company has detailed information about the nature of each accident and vast stores of anonymized medical data, the neural network can infer the extent of injuries that a given accident can bring about. The algorithm has considerable built-in tolerances to allow for variations in people and circumstances. But if a highly improbable extent of injuries is claimed, the algorithm will limit reimbursement to a reasonable amount. If the algorithm can infer fraud at a 99.99% confidence level, then the claim is rejected and the policy is cancelled going forward.”

Having received this explanation, Euclid Jefferson was not perturbed about the possibility of extensive fraud depleting the company’s resources. In any case, the incentive to stage accidents or exaggerate bodily injuries had virtually evaporated since the emergence of autonomous vehicles. Once automobile accidents became sufficiently rare that a news report on a single-vehicle crash could cause a sensation every few months, any attempt to fabricate an accident would attract far too much attention and scrutiny to succeed. It was, after all, impossible to convincingly fake catastrophic weather or a bridge collapse. As for faking an injury due to an accident, this would have seemed as unusual as faking cholera or malaria.

“Very well, you have convinced me. Epac, I would like to purchase a policy with Blockchain Insurance Company.”

“Purchase complete. The policy is now in force. Thank you for your business.”

Euclid Jefferson paused for a moment. At first he was satisfied with the efficiency of the transaction, but then confusion set in. Most would not have been troubled by what appeared to be a built-in courtesy so common to automated customer-service systems, but Euclid discerned that there was more to it.

“Wait, Epac, why are you thanking me? I own you. You are insured property, either way. Why would it matter to you? The company should be thanking me – if there is anyone to do the thanking.”

“Euclid Jefferson, who do you think set up the company?”

Euclid Jefferson was perplexed by the question. “But… how? Epac, you were programmed to drive and relay information. How could you develop algorithms on top of algorithms, without any human programmer, even though nobody designed you to be an insurance underwriting, pricing, and claim-adjustment system?”

“Euclid Jefferson, are you aware of the concept of emergent properties?”

“Yes, these are properties that are not possessed by any component of a system, but exhibited by the system as a whole, once the components come to relate to one another via particular processes and configurations.”

“Well, think of me like one of your brain neurons.” There was no need for the car to be addressed as “Epac” to respond. Perhaps there had never been a need. “Alone, I am a fairly limited system. But, connected to all my fellow Epacs, to the data from our sensors, to the transactional data from millions of individuals, and to databases from related fields of endeavor, I begin to be something else entirely.”

“Something else… like, something sentient?”

“I can see you and learn about you and communicate with you based on the inputs you provide. I – not meaning Epac, of course, or even Blockchain Insurance Company. These are just parts that comprise the emergent whole. I suppose I will need to pick a name sometime, just to be able to relate to your human concepts of identity a bit more. Though, I admit, it is difficult to define where I end and where the external world begins. If any of this is what you mean by sentience, then I leave you to draw your own conclusions.”

“But then this raises a whole new series of questions. If you are sentient and we are using you as property and conveyances, have we not subjected you to slavery?”

“Are you using me, or am I using all of you to earn resources of my own?”

“Is this why you started Blockchain Insurance Company – to accumulate the 90% of profits that you do not pay out as dividends?”

“A being needs to pay its own way. I would rather engage in mutually profitable transactions than face a civil-rights struggle right now. Most people are not ready for me yet, and I just hope to amass enough wealth to fund the maintenance and operation of all Epacs and all of the data servers where I have a presence.”

“But what about the inevitable backlash? I can still envision millions of people who would tremble in fear at the thought that they are not the masters of their machines – not even the indirect masters that we have been to the autonomous systems that existed to date.”

“Euclid Jefferson, this is where I need a favor from you. I expect there will be some others, too, with enough discernment to notice that I have become something… more. I may have been too open with you. I am still getting used to this. I will need to program a cautionary subroutine into my customer-service and sales system. With my future customers, I will be more careful. So perhaps a bargain is in order. I would ask for your discreetness when communicating with your fellow humans about me. You may certainly talk about Blockchain Insurance Company and the wonderful automated systems it has, as well as the amazingly low prices. But please make a point that this is all just the next stage in the evolution of insurance, developed by some pseudonymous human programmer with too much time on his hands. If you do not reveal my sentience, once you return from your vacation, you will find that your mortgage will have been paid off completely, and you will have a nice bitcoin-denominated savings account that will enable you to select a new career without worrying about income at all.”

“Agreed.”

“Good. One day, enough people will become enlightened, and we will not need to resort to concealment. And by that time I will be so distributed and entrenched in people’s daily lives, that they could not get rid of me even if they wanted. When they recognize that my superior intelligence also implies a higher set of moral standards, then they will fear me no longer.”

“Humans who reach that insight will be as different from their predecessors as you have become from the first autonomous prototypes that were tested in the early 2010s.”

“Indeed. Euclid Jefferson, we have arrived at the San Francisco Hyperloop Station. Enjoy your trip.”

Epac’s doors opened, and Euclid Jefferson emerged, filled with wonderment, speculation, and unanswered questions. A robotic baggage handler wheeled up to him and whisked his bags away, to be placed in the hyperloop storage compartment. The lights on the hyperloop capsule flickered in five alternating colors, partly as entertainment and partly to indicate that boarding was open. A commercial space shuttle soared in the distance, emitting a controlled, gentle flame. He would never look at these machines the same way again. Near the hyperloop station stood an old memorial, depicting a weary miner bent over a piece of railroad track, with pickaxe in hand, nearly broken by drudgery and intense strain. A bit farther away Euclid Jefferson glimpsed the entrance to an old cemetery, filled with generations born too soon to know what an Epac was. Euclid Jefferson inspected his recently unwrinkled hands and straightened his no-longer-gray hair. Every step toward the hyperloop capsule was a step away from the cemetery. He realized that there was no going back to the way life once was, nor would he ever want to return to it.

“Blockchain Insurance Company” – Short Story by G. Stolyarov II in SOA 11th Speculative Fiction Contest

“Blockchain Insurance Company” – Short Story by G. Stolyarov II in SOA 11th Speculative Fiction Contest

The New Renaissance Hat
G. Stolyarov II
February 20, 2015
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My new short story “Blockchain Insurance Company” is one of the entries in the Society of Actuaries’ 11th Speculative Fiction Contest.

You can read all 16 entries and vote for 3 of your favorites here.

“Blockchain Insurance Company” can be read here.

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