The Sharing Economy 共享經濟
The End of Employment and Rise of Crowd-based Capitalism
雇用的結束、以及群眾資本主義的興起
Chap 6 The Shifting Landscape of Regulation and Consumer Protection
Developing a Sharing Economy System
Oct 2013, AirBnB
225,000 New Yorkers users
NY state attorney general Eric T. Schneiderman asked AirBnB to turn over host data
More than taxes
“Illegal hotels” law, 2010
Outlawded NYers livings in multi-unit dwellings their abodes for less than 30 days
Residents could still be AirBnB hosts so long as they were present in their apartment
No entire apartment
Developing a Sharing Economy System
Objected AirBnB
Neighborhood safety
Started renting out units Instead of long-term residents
Exacerbates the affordable housing crisis
Serious public safety concerns
Data-Driven Delegation
Developing a Sharing Economy System
Share Better
Developing a Sharing Economy System
Complexities of the sharing economy
Low-cost UberPop
shutdown in Span, the end of 2014
Banned in Paris and Berlin, 2015
UberX
Shutdown in Seoul in March 2015
Entire service
Shutdown in New York’s East Hampton in June 2015
Investigated in Dutch in April 2015
Legalize
Belgium by 2016, California & Virginia…
....
Machine learning added value
Integrate social responsibilities into platform
Open innovation to its own regulation challenges and unresolved regulation challenges
Chap 6 The Shifting Landscape of Regulation and Consumer Protection
Summary and beyond
Summary
Multi-level self-regulatory platforms
(Big) Data as a new communication and control intermediary
The beyond
New privacy(隱私) issues
Liability(義務) and insurance(保險)
Blockchain(區塊鏈)-based exchange and smart-contracts(智能合約)
"Old Age Is No Place For Sissies" 2nd of 12 #bizTrend for 2012Design | Intuition
Baby Boomers account for 40% of consumer demand in the U.S., and control 70% of the total net worth of American households ($7trillion). While the rest of us are saving for a retirement, the Boomers are spending their hard earned pensions, social security, IRAs, and 401Ks. While recent financial and housing market crashes have resulted in devastating losses to many, the amount of money set aside for the Golden Years of this ever increasing retired set is astronomical.
This paper is a brief look at the enormous opportunity that Baby Boomers offer to :
1. Durable and non-durable product retailers, manufactures and suppliers. (Automobile, travel, airline, furniture, home builder, hardware manufacturers, and more)
2. Service providers including the airline industry and home builders.
3. Municipalities and governments with respect to urban planning and infrastructure spending.
"Old Age Is No Place For Sissies" 2nd of 12 #bizTrend for 2012Design | Intuition
Baby Boomers account for 40% of consumer demand in the U.S., and control 70% of the total net worth of American households ($7trillion). While the rest of us are saving for a retirement, the Boomers are spending their hard earned pensions, social security, IRAs, and 401Ks. While recent financial and housing market crashes have resulted in devastating losses to many, the amount of money set aside for the Golden Years of this ever increasing retired set is astronomical.
This paper is a brief look at the enormous opportunity that Baby Boomers offer to :
1. Durable and non-durable product retailers, manufactures and suppliers. (Automobile, travel, airline, furniture, home builder, hardware manufacturers, and more)
2. Service providers including the airline industry and home builders.
3. Municipalities and governments with respect to urban planning and infrastructure spending.
Essays About Pride. Pride Essay. LGBTQ Right and Discrimination - Free Essay ...Roberta Turner
Theme of Pride - A-Level English - Marked by Teachers.com. Stunning Pride Essay Thatsnotus. Short Essay On My Country , My Pride Short Essay On My Country Nepal .... Pride Essay. 001 Pride Essay Define Analytical Formal Definitions Video Write On .... Pride in being an american essay. quot;Pride and Prejudicequot; Free Essay Example. Essay About Pride. Essay On LGBT History in Australia Legal Studies - Year 12 HSC .... 4th March 2019. Timed pride class essay.docx - 4th March 2019. quot;The .... Pride and prejudice essay. DOC Essay about LGBT Nahdia Aurelia - Academia.edu. Essay about pride - presentationbackgrounds.web.fc2.com. How Pride in What They Do Will Affect The Worker? Two Stories and a .... Essays of pride and prejudice. essay examples: Pride And Prejudice Essay. Pride and Prejudice Essay Essay on Pride and Prejudice for Students .... Lgbtq Essay Lgbt LGBTQ Rights. LGBT essay.docx Lgbt LGBTQ Rights Free 30-day Trial Scribd. School pride essay. School Pride. 2019-01-14. Lifting the Spiritual Self-Esteem of the LGBT Comm
A presentation on the challenges we must address to better utilise the Internet to create better ways of working, learning and living; trust, payments, security, copyright and taxation.
A holistic approach to rewiring our global economic system into something more human, sustainable and free. Based on the lessons learned from social web technologies.
AI+
AI
即將從棋盤,走入我們的真實世界
AI + 社會科學的開始
New Wave of AI Application Example – Digital Ads
AI+ “Misbehaving”
Q & A
1. New Wave of
AI 應用例 — 數位廣告
你的點擊,
反映你的選擇決策
Digital Advertising Revenues Hit $19.6 B in Q1 2017, Climbing 23% Year-Over-Year
Internet Ads > TV 全球網路廣告花費已大於電視
Winner Takes All 網路廣告贏者通吃
Google & Facebook Ads Examples
搓合與優化配置
Internet as a mass media
網路廣告優化方程式
七大族群的精準行銷?
十五大族群的精準行銷?
Common Data Categories
大數據分析找到更多潛在客群
Advertiser Utility: The Value Funnel
Range
Ads Optimization Formula
Data Science
The Revolution of Big Data
Models Cases
Models Cases
Optimization Perspective
Gradient Descent
“New” Wave of Machine Learning
“Deep” Learning AI
(Big) Data-driven
More tolerance for “state-of-the-art” empirical evidence
Ensemble with Reinforcement-learning & other methods
World, Model & Theory
Model?!
Artificial Power Artificial Intelligence 體力 腦力 的第四次工業革命
2.
AI 與 “不當行為”
以人為中心
2017 年諾貝爾經濟學獎揭曉,行為經濟學出線
人是自私和理性的
“The Theory of Moral Sentiments” by Adam Smith
Every man is, no doubt, by nature first and principally recommended to his own care; and he is fitter to care of himself than of every other person…" (1759, 82)
(每個人天生都是為自己活著的,並且他比其他任何人都更有能力為自己精打細算)
市場是有效率的(尤其是金融市場)
正是由於每個人自私自利的天性,Adam Smith 提出的Invisible Hands(看不見的手)才可能最有效的發揮其作用,讓市場在供需影響下達到最有效的狀態。
Loss Aversion & Endowment Effect
「97% 贏得 100 美元」 vs. 「37% 贏得 300 美元」 ?
如果送你一個賭注,你會願意多少錢轉賣出去?
Loss Aversion & Endowment Effect
A: 這項治療法可治 200 人
B: 這項治療法有 1/3 的機會拯救 600 人, 2/3 的機會無人得救
Loss Aversion & Endowment Effect
「97% 贏得 100 美元」 vs. 「37% 贏得 300 美元」 ?
如果送你一個賭注,你會願意多少錢轉賣出去?
the Coase Theorem Works at Tokens 寇斯定理對於明確價值的交易可行
the Coase Theorem did not Work in Practice 寇斯定理在實務上不可行
「損失的痛苦」是「獲得的快樂」之 2 倍
The Behavioral Economics of BitCoin
The Behavioral Economics of Cryptokitties
「損失的痛苦」是「獲得的快樂」之 2 倍
Simon’s Bounded Rationality
人真的是理性/非理性的嗎?
Paul Krugman – Nobel Price(2008)
Home DNA Test
How Many Kinds of People in the World? 人有幾種?
Know-What, Know-Why, Know-How and Decision Making
Kinds of Human in the World? 人有幾種?
Ads Optimization <-> Economic Decision
AlphaGo, Master to Zero
AlphaZero
AlphaZero
AlphaGo/Master/Zero, AlphaZero
全宇宙原子數大約為 10^80
以全宇宙可見物質總質量(1.45×10^53) / 氫原子質量(1.67×10^−27)
圍棋的排列組合總數 10^171
AlphaGo 的運算能力
早期的 AlphaGo Fan 使用 176 個 GPU
AlphaGo Lee 使用了 48 個 TPU
AlphaGo Master 與 AlphaGo Zero 皆只使用 4 個 TPU。
Computation Economics
“New” Wave of Machine Learning
“Deep” Learning AI
(Big) Data-driven
More tolerance for “state-of-the-art” empirical
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Essays About Pride. Pride Essay. LGBTQ Right and Discrimination - Free Essay ...Roberta Turner
Theme of Pride - A-Level English - Marked by Teachers.com. Stunning Pride Essay Thatsnotus. Short Essay On My Country , My Pride Short Essay On My Country Nepal .... Pride Essay. 001 Pride Essay Define Analytical Formal Definitions Video Write On .... Pride in being an american essay. quot;Pride and Prejudicequot; Free Essay Example. Essay About Pride. Essay On LGBT History in Australia Legal Studies - Year 12 HSC .... 4th March 2019. Timed pride class essay.docx - 4th March 2019. quot;The .... Pride and prejudice essay. DOC Essay about LGBT Nahdia Aurelia - Academia.edu. Essay about pride - presentationbackgrounds.web.fc2.com. How Pride in What They Do Will Affect The Worker? Two Stories and a .... Essays of pride and prejudice. essay examples: Pride And Prejudice Essay. Pride and Prejudice Essay Essay on Pride and Prejudice for Students .... Lgbtq Essay Lgbt LGBTQ Rights. LGBT essay.docx Lgbt LGBTQ Rights Free 30-day Trial Scribd. School pride essay. School Pride. 2019-01-14. Lifting the Spiritual Self-Esteem of the LGBT Comm
A presentation on the challenges we must address to better utilise the Internet to create better ways of working, learning and living; trust, payments, security, copyright and taxation.
A holistic approach to rewiring our global economic system into something more human, sustainable and free. Based on the lessons learned from social web technologies.
AI+
AI
即將從棋盤,走入我們的真實世界
AI + 社會科學的開始
New Wave of AI Application Example – Digital Ads
AI+ “Misbehaving”
Q & A
1. New Wave of
AI 應用例 — 數位廣告
你的點擊,
反映你的選擇決策
Digital Advertising Revenues Hit $19.6 B in Q1 2017, Climbing 23% Year-Over-Year
Internet Ads > TV 全球網路廣告花費已大於電視
Winner Takes All 網路廣告贏者通吃
Google & Facebook Ads Examples
搓合與優化配置
Internet as a mass media
網路廣告優化方程式
七大族群的精準行銷?
十五大族群的精準行銷?
Common Data Categories
大數據分析找到更多潛在客群
Advertiser Utility: The Value Funnel
Range
Ads Optimization Formula
Data Science
The Revolution of Big Data
Models Cases
Models Cases
Optimization Perspective
Gradient Descent
“New” Wave of Machine Learning
“Deep” Learning AI
(Big) Data-driven
More tolerance for “state-of-the-art” empirical evidence
Ensemble with Reinforcement-learning & other methods
World, Model & Theory
Model?!
Artificial Power Artificial Intelligence 體力 腦力 的第四次工業革命
2.
AI 與 “不當行為”
以人為中心
2017 年諾貝爾經濟學獎揭曉,行為經濟學出線
人是自私和理性的
“The Theory of Moral Sentiments” by Adam Smith
Every man is, no doubt, by nature first and principally recommended to his own care; and he is fitter to care of himself than of every other person…" (1759, 82)
(每個人天生都是為自己活著的,並且他比其他任何人都更有能力為自己精打細算)
市場是有效率的(尤其是金融市場)
正是由於每個人自私自利的天性,Adam Smith 提出的Invisible Hands(看不見的手)才可能最有效的發揮其作用,讓市場在供需影響下達到最有效的狀態。
Loss Aversion & Endowment Effect
「97% 贏得 100 美元」 vs. 「37% 贏得 300 美元」 ?
如果送你一個賭注,你會願意多少錢轉賣出去?
Loss Aversion & Endowment Effect
A: 這項治療法可治 200 人
B: 這項治療法有 1/3 的機會拯救 600 人, 2/3 的機會無人得救
Loss Aversion & Endowment Effect
「97% 贏得 100 美元」 vs. 「37% 贏得 300 美元」 ?
如果送你一個賭注,你會願意多少錢轉賣出去?
the Coase Theorem Works at Tokens 寇斯定理對於明確價值的交易可行
the Coase Theorem did not Work in Practice 寇斯定理在實務上不可行
「損失的痛苦」是「獲得的快樂」之 2 倍
The Behavioral Economics of BitCoin
The Behavioral Economics of Cryptokitties
「損失的痛苦」是「獲得的快樂」之 2 倍
Simon’s Bounded Rationality
人真的是理性/非理性的嗎?
Paul Krugman – Nobel Price(2008)
Home DNA Test
How Many Kinds of People in the World? 人有幾種?
Know-What, Know-Why, Know-How and Decision Making
Kinds of Human in the World? 人有幾種?
Ads Optimization <-> Economic Decision
AlphaGo, Master to Zero
AlphaZero
AlphaZero
AlphaGo/Master/Zero, AlphaZero
全宇宙原子數大約為 10^80
以全宇宙可見物質總質量(1.45×10^53) / 氫原子質量(1.67×10^−27)
圍棋的排列組合總數 10^171
AlphaGo 的運算能力
早期的 AlphaGo Fan 使用 176 個 GPU
AlphaGo Lee 使用了 48 個 TPU
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“New” Wave of Machine Learning
“Deep” Learning AI
(Big) Data-driven
More tolerance for “state-of-the-art” empirical
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圖靈測試(Turing Test)
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Deep Neural Network
AI Timeline
KEY MOMENTS IN DEEP-LEARNING HISTORY
KEY MOMENTS IN DEEP-LEARNING HISTORY
KEY MOMENTS IN DEEP-LEARNING HISTORY
Deep Dream
Deep Dream
Deep Dream
Deep Dream
Deep Dream
Deep Dream
Deep Dream
Artistic Style
Artistic Style
Artistic Style
LipNet
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Protect Communication
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Google RAISR
Google RAISR
Google RAISR
Google RAISR
Google Brain's super-resolution technique
Plug & Play Generative Networks
Generative Adversarial Text to Image Synthesis
Image-to-Image Translation with Conditional Adversarial Nets
Pix2Pix
Pix2Pix
Ratbot and maze
Ratbot and maze
Bird-eye camera over the maze
Digital reward map updating
Superior learning performance of Ratbots over unenhanced rats
Embed The Word
AI can Tell the Difference between Sports
CaptionBot
Microsoft Seeing AI
AlphaGo
OpenAI Gym
StarCraft II DeepMind feature layer API
AI Coopetetion
Microsoft's AI Tay offends and goes offline
Open Letter on Artificial Intelligence
To Benefit People and Society
Microsoft + OpenAI
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Auto-Pilot in China
Auto-Pilot in China
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Auto-Pilot in China
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6. 人工智能+物聯網與數位典範翻轉
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If you are looking for a pi coin investor. Then look no further because I have the right one he is a pi vendor (he buy and resell to whales in China). I met him on a crypto conference and ever since I and my friends have sold more than 10k pi coins to him And he bought all and still want more. I will drop his telegram handle below just send him a message.
@Pi_vendor_247
how to sell pi coins effectively (from 50 - 100k pi)DOT TECH
Anywhere in the world, including Africa, America, and Europe, you can sell Pi Network Coins online and receive cash through online payment options.
Pi has not yet been launched on any exchange because we are currently using the confined Mainnet. The planned launch date for Pi is June 28, 2026.
Reselling to investors who want to hold until the mainnet launch in 2026 is currently the sole way to sell.
Consequently, right now. All you need to do is select the right pi network provider.
Who is a pi merchant?
An individual who buys coins from miners on the pi network and resells them to investors hoping to hang onto them until the mainnet is launched is known as a pi merchant.
debuts.
I'll provide you the Telegram username
@Pi_vendor_247
What website can I sell pi coins securely.DOT TECH
Currently there are no website or exchange that allow buying or selling of pi coins..
But you can still easily sell pi coins, by reselling it to exchanges/crypto whales interested in holding thousands of pi coins before the mainnet launch.
Who is a pi merchant?
A pi merchant is someone who buys pi coins from miners and resell to these crypto whales and holders of pi..
This is because pi network is not doing any pre-sale. The only way exchanges can get pi is by buying from miners and pi merchants stands in between the miners and the exchanges.
How can I sell my pi coins?
Selling pi coins is really easy, but first you need to migrate to mainnet wallet before you can do that. I will leave the telegram contact of my personal pi merchant to trade with.
Tele-gram.
@Pi_vendor_247
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where can I find a legit pi merchant onlineDOT TECH
Yes. This is very easy what you need is a recommendation from someone who has successfully traded pi coins before with a merchant.
Who is a pi merchant?
A pi merchant is someone who buys pi network coins and resell them to Investors looking forward to hold thousands of pi coins before the open mainnet.
I will leave the telegram contact of my personal pi merchant to trade with
@Pi_vendor_247
how can i use my minded pi coins I need some funds.DOT TECH
If you are interested in selling your pi coins, i have a verified pi merchant, who buys pi coins and resell them to exchanges looking forward to hold till mainnet launch.
Because the core team has announced that pi network will not be doing any pre-sale. The only way exchanges like huobi, bitmart and hotbit can get pi is by buying from miners.
Now a merchant stands in between these exchanges and the miners. As a link to make transactions smooth. Because right now in the enclosed mainnet you can't sell pi coins your self. You need the help of a merchant,
i will leave the telegram contact of my personal pi merchant below. 👇 I and my friends has traded more than 3000pi coins with him successfully.
@Pi_vendor_247
US Economic Outlook - Being Decided - M Capital Group August 2021.pdfpchutichetpong
The U.S. economy is continuing its impressive recovery from the COVID-19 pandemic and not slowing down despite re-occurring bumps. The U.S. savings rate reached its highest ever recorded level at 34% in April 2020 and Americans seem ready to spend. The sectors that had been hurt the most by the pandemic specifically reduced consumer spending, like retail, leisure, hospitality, and travel, are now experiencing massive growth in revenue and job openings.
Could this growth lead to a “Roaring Twenties”? As quickly as the U.S. economy contracted, experiencing a 9.1% drop in economic output relative to the business cycle in Q2 2020, the largest in recorded history, it has rebounded beyond expectations. This surprising growth seems to be fueled by the U.S. government’s aggressive fiscal and monetary policies, and an increase in consumer spending as mobility restrictions are lifted. Unemployment rates between June 2020 and June 2021 decreased by 5.2%, while the demand for labor is increasing, coupled with increasing wages to incentivize Americans to rejoin the labor force. Schools and businesses are expected to fully reopen soon. In parallel, vaccination rates across the country and the world continue to rise, with full vaccination rates of 50% and 14.8% respectively.
However, it is not completely smooth sailing from here. According to M Capital Group, the main risks that threaten the continued growth of the U.S. economy are inflation, unsettled trade relations, and another wave of Covid-19 mutations that could shut down the world again. Have we learned from the past year of COVID-19 and adapted our economy accordingly?
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While the economic indicators are positive, the risks are coming closer to manifesting and threatening such growth. The new variants spreading throughout the world, Delta, Lambda, and Gamma, are vaccine-resistant and muddy the predictions made about the economy and health of the country. These variants bring back the feeling of uncertainty that has wreaked havoc not only on the stock market but the mindset of people around the world. MCG provides unique insight on how to mitigate these risks to possibly ensure a bright economic future.
What price will pi network be listed on exchangesDOT TECH
The rate at which pi will be listed is practically unknown. But due to speculations surrounding it the predicted rate is tends to be from 30$ — 50$.
So if you are interested in selling your pi network coins at a high rate tho. Or you can't wait till the mainnet launch in 2026. You can easily trade your pi coins with a merchant.
A merchant is someone who buys pi coins from miners and resell them to Investors looking forward to hold massive quantities till mainnet launch.
I will leave the telegram contact of my personal pi vendor to trade with.
@Pi_vendor_247
how to swap pi coins to foreign currency withdrawable.DOT TECH
As of my last update, Pi is still in the testing phase and is not tradable on any exchanges.
However, Pi Network has announced plans to launch its Testnet and Mainnet in the future, which may include listing Pi on exchanges.
The current method for selling pi coins involves exchanging them with a pi vendor who purchases pi coins for investment reasons.
If you want to sell your pi coins, reach out to a pi vendor and sell them to anyone looking to sell pi coins from any country around the globe.
Below is the contact information for my personal pi vendor.
Telegram: @Pi_vendor_247
Currently pi network is not tradable on binance or any other exchange because we are still in the enclosed mainnet.
Right now the only way to sell pi coins is by trading with a verified merchant.
What is a pi merchant?
A pi merchant is someone verified by pi network team and allowed to barter pi coins for goods and services.
Since pi network is not doing any pre-sale The only way exchanges like binance/huobi or crypto whales can get pi is by buying from miners. And a merchant stands in between the exchanges and the miners.
I will leave the telegram contact of my personal pi merchant. I and my friends has traded more than 6000pi coins successfully
Tele-gram
@Pi_vendor_247
3. Chap 6
The Shifting Landscape of Regulation
and Consumer Protection
317/,/7
那c卡在深植的x仰系統與體制中的社會,無法面對與解決新的社會複?性問題。
--- Douglass C. North, 於諾貝爾得獎演講,Dec 09, 1993
5. Developing a Sharing Economy
System
! Oct 2013, AirBnB
! 225,000 New Yorkers users
! NY state attorney general Eric T. Schneiderman asked AirBnB to
turn over host data
! More than taxes
! “Illegal hotels” law, 2010
! Outlawded NYers livings in multi-unit dwellings their abodes for
less than 30 days
! Residents could still be AirBnB hosts so long as they were present
in their apartment
! No entire apartment
17/,/7 5
紐約檢察總長
非法旅館
有出租f在才可以
6. Developing a Sharing Economy
System
617/,/7
http://action.peers.org/
page/s/legalize-sharing-ny
Mishelle
7. Developing a Sharing Economy
System
! Objected AirBnB
! Neighborhood safety
! Started renting out units Instead
of long-term residents
! Exacerbates the affordable
housing crisis
! Serious public safety concerns
17/,/7 7
鄰戶安全T短約換長約T房價負擔T公安…
13. Developing a Sharing Economy
System
! Complexities of the sharing economy
! Low-cost UberPop
! shutdown in Span, the end of 2014
! Banned in Paris and Berlin, 2015
! UberX
! Shutdown in Seoul in March 2015
! Entire service
! Shutdown in New York’s East Hampton in June 2015
! Investigated in Dutch in April 2015
! Legalize
! Belgium by 2016, California Virginia…
17/,/7 13
https://en.wikipedia.org/wiki/Uber_protests_and_legal_actions
在不同城市衝突與停擺
在少數城市合法化
14. Developing a Sharing Economy
System
! Mayor Bill de Blasio
! Proposed cap on their provider numbers
17/,/7 14
AirBnB 在自己的 App
回擊紐約市長
15. Developing a Sharing Economy
System
! Expert and experienced talent
! Political strategist, the deputy commissioner for policy and
planning at the Taxi and Limousine Commission, …
! “It’s so much easier to have a conversation with someone
who actually understands how government works.”
! Why?
17/,/7 15
5he 4h6riAg e8oAo@y 8re6teE Aew w6yE of Crovi9iAg
f6@ili6r Eervi8eE th6t 6re tr69itioA6lly ofteA highly
regGl6te9 regGl6tory 8oAfli8t iE to 7e exCe8te9.
導入有經驗的政治窗口t對話
踏入a以往被監管的傳統經濟領域
16. Developing a Sharing Economy
System
! A robust regulatory infrastructure needed
! The scale of providers varies dramatically
! From M-billion dollar hotel chains to occasional Airbnb hosts
! In a way that preserves individual freedom, consumer safety,
not 6% harm 94%
! No crippling burden to city and state government
! Both an increase and a diversification of regulation
17/,/7 16
5he liAe 7etweeA CerEoA6l 6A9 CrofeEEioA6l 6re 7lGrriAg!
/ “C6rti8iC6tory @o9el”
「個f」與「專業」的界線“在模糊!
規模差異很大
不該也無法一體適用
參與式模式
17. Why Regulation Still Matters
! A safer and more reliable world
! Regulations are instruments used to implement social and
economic policy objectives
! Legal and administrative mechanisms designed to encourage
economic activity
! Market failure
! Monopolization
! New competition and diversifying the market
! Protect potential harm and ensure public safety
17/,/7 17
Regulation as an intervention to correct “market failure” approach.
為sh需要監管S
社會與經濟的目的
市場失靈
獨r
監管是一種g入去y“「市場失靈」的手段。
18. Why Regulation Still Matters
! Information Asymmetry(資訊不對稱)
! Externalities(外部性)
! Blurring boundaries between the Personal and the
Professional(專業模糊)
! The Evolution of Regulation(監管的演化)
17/,/7 1,
19. Information Asymmetry:
When One Party Knows More than
the Other
! Information Asymmetry(資訊不對稱)
! Seller vs. buyer
! Adverse selection(逆,擇)
! Lemon used cars
! Moral hazard()德危機)
! Less careful
! Reckless driving
! Lower effort
! Lower level of cleanliness
17/,/7 1-
20. Information Asymmetry:
When One Party Knows More the the
Other
! Pre-Internet P2P economic exchange
! Government
! Embed exchange into a trusting local community(village, family, suburban
neighborhood…)
! 3rd party certifying body
! Example
! Taxi fair by screening + meter
! Internet platform
! Natural incentive to try and reduce information failure
! Online trust platform
! Social capital, digital reputation system
! Lyft
! In-person driver screenings, criminal background checks, assess driving history
! Airbnb
! July 2013, 300 customer service, 50 dedicated to promoting trust and safety 17/,/7 20
有網路以前,h在到處d易
網路時i,平台有自然誘因去建立機制Tv成d易
21. Externalities:
When Others Bear the Consequences
of My Actions
! Positive spillovers(“向溢出)
! (Positive) Network effect
! Negative externalities(負向外部性)
! Additional taxicab, noisy Airbnb guests
! Externalities of online platform(線上平台的外部性)
! Difficult to keep track
! Small scale and fluctuate
! Local externalities
17/,/7 21
22. Blurring of Boundaries between the
Personal and the Professional
! Most people do these in ‘personal’(f際常見d易)
! Loan money to friends, pick up others, lend apartments to
relatives, make meal for guests
! No oversight, licensing, screening, taxation, or training…
! Sharing economy (共e經濟)
! Brought the informal exchanges into the main-stream economy
! “In-between” personal and professional
! Social challenges(社會挑戰)
! Apply a regulatory regime developed for full-time or large-scale
professional providers to smaller, semiprofessional providers
! Grassroots innovation vs. market failure
! Data trail for discrimination
17/,/7 22
23. A Historical Example:
The Maghribi Trader(摩洛哥商f)
! Maghribi trader played a leading role in world trade in the
11th century
! Ship goods without travelling with them
! Might be rip off, lost, damaged… in the process
! Only hand-to-hand money exchange
! Trust ( enforcement) across geographic and cultural
boundaries
! Reputation(of agent)
! Self-interested community(coalitions)
17/,/7 23
摩洛哥商f透(商譽與商團約束,跨區域與跨文化d易
24. Matchmakers Over Three
Millennia
17/,/7 24
! Bartering(以物易物)
! Organized marketplaces emerged
! By 300 BCE, “emporion”(貿易處) near the docks in Athens(雅
典)
! shipowners, traders, lenders(creditors), … sharing economy
! Early 1400s CE, Renaissance(文藝復興) Europe has city-
states sponsored marketplaces, Fairs
! Merchants of French and German gathered together and
exchange goods for a given period time each year
! Concessions and bans on imports, settling disputes, developed
sufficient trust, extent credit, …
25. Economic Institutions and
Brand-based Trust
! Institutions(體制)
! Douglass North, 1993 Nobel Memorial Prize
! The humanly devised constraints that structure human interaction.
! Made up of formal constraints (rules, laws, constitutions), informal
constraints (norms of behavior, conventions, and self imposed
codes of conduct), and their enforcement characteristics.
! “rule of the game” of a society
! Contract cost is too expensive for myriad everyday transactions
! Examples
! IPR, Bank for strangers, corporate brands…
! Food safety: FDA + Brand
! Roller coaster in Disney…
! Pursuing a long-run profit motive
17/,/7 25
f類建立的遊戲規則,
減少合約成本,
!求長期獲利
26. Economic Institutions and
Brand-based Trust
! Why need a different trust infrastructure?
! Douglass North
! Rules may be changed overnight. Norms change gradually.
! The norms provide “legitimacy” to a set of rules
! Economies that adopt the formal rules of another economy
will have very different performance characteristics than the
first economy
! Because of different informal norms and enforcement
17/,/7 26
規則可以隨時改變,價值規範只能慢慢改變。
不同經濟體系有非常不同的績效特性。
27. Where the Sharing Economy Is
Taking Regulation
! Permissionless innovation(無許可創新)
! Reject the idea that creators of new technologies seek
permission from public officials before taking the service to
market
! Can you share and innovate by the book? You can, but first
someone has to write the book.
! Digital signals
! User-generated review
! side benefits: leading indicator to trace food-borne illness
! Self-interest of the platform alignment
! Ex. Ads quality? Noisy guests? …
17/,/7 27
可以照著書t創新嗎S
至少要先把書寫好S!
數p新機制
28. Where the Sharing Economy Is
Taking Regulation
! One-size-fit-all?
! How about renting out a hammock / a treehouse…?
! Occasional providers
! 90% AirBnb hosts, 2/3 Lyft drivers, EatWith/Feastly, Etsy…
! Safety is safety, and we can’t compromise on it!
! cost
! Restaurant inspections, kitchen hygiene… of home-made meals
! Falling sick vs. cost of running the inspection infrastructure
17/,/7 2,
舊法如s一體適用S
「安全」也有成本考量
29. Matchmakers Chap 9
Fakesters and Fraudsters
! Governing Bad Behavior by Platform Participants
! Facebook had about 150 employees, 1/15, looking for offensive
content and misbehavior
! Behavior Externality(行為外部性)
! If not alone in desert, externality is common
! Positive/negative externality
! Indirect network effect for multisided platform
! Direct network effect for the same group
! Consider behavior instead of facts/numbers(注重「行為」影響)
! The reason why communities/societies adopt laws, regulations,
policies, courts, authorities
! Multisided platforms are communities
! Successful platforms nurture the positive and minimize the negative
2-17/,/7
30. Behavior Badly
! Identity
! Faked name
! Keep privacy(隱私)
! Sexual predation(性u), online harassment(騷擾),
suicides(自殺)
! MySpace’s cyberbullying (網路霸凌)
! Lori Drew faking a young boy to orchestrated an online romance
with Megan Meier(16 years old), her daughter’s opponent, become
hostile and suggested her kill herself. She did.
! Fraud
! Misrepresentation of merchants, no shipping, …
! Alibaba’s escrow(x託)
! Information asymmetry with “lemons problem”
! QC(品管) of Apple Store
! Opportunistic behavior
! “Front-running”(先買入) of exchanges’ brokers
! “Drip pricing”(附加費) at the end of payment process using
credit cards
3017/,/7
(ref: https://en.wikipedia.org/wiki/Suicide_of_Megan_Meier )
31. Behavior Badly
! Bodily harm(身體傷害)
! Craiglist
! Raped or killed
! French ride-sharing(共乘) service BlaBlaCar
! 20M members in 19 countries
! Great pain to deal with this concern
! Id, photo, ratings…
! Ladies only…
! Physical vs. Virtual communities
! Lack of tools
! Repeated arrests drunk driving(重複酒駕) in City of LA
! Facebook can just disable accounts
! Digital tools
! No laws against for Lori Drew’s reprehensible(霸凌案) activities in Missori
! social network could at least monitor and detect
3117/,/7
32. Follow the Rules
! In early 1700s, England
! People traded the options(,擇權) or futures(期貨)
! The courts decide it was a form of gambling(賭博)
! In 1734, the British Parliament passed Sir Barnard‘s Act
! Options or futures are illegal, no much prosecution(徹底執行)
! In early 1800s, London
! Jonathan’s Coffee House
! Trade in stocks and securities, near the commodities exchange(貨物d
換)
! Physically rejected the reneged(違約) at first, and wrote the names
of fraudsters on a highly visible blackboard
! March 3, 1801, London Stock Exchange opened
! Regulations(監管) was monitored and adjudicated by a committee,
including full-time admins
! Trust!
! Rules and regulations preventing negative externalities
! Fulfill obligations(合約) and manipulate price
3217/,/7
33. Follow the Rules
! Multisided platforms
! BlaBlaCar
! Detailed set of “Terms and Conditions”, termination of membership
! eBay
! Rules and Policies
! Create a safe and fair environment for all members
! Prohibit from using profanity(褻瀆), misrepresenting, outside sales
! Pay for buying, buy only want, retract(撤銷); no manipulating price, no
failing delivery, no porn, no counterfeit
! Apple store
! Do something useful, unique or entertainment
! No plain creepy, no cheating system, no stealing data, no manipulating
rates, no ugly UI
! Top rejection reason
! You content is boring
! Facebook
! No ugly ads
3317/,/7
34. Get Out and Stay Out
! Ejecting participants
! Bouncers in nightclubs(夜店大漢)
! Ultimate threads
! “No show” policy in OpenTable
! 30 minutes advance before reservation time
! 4 “no show” / 12 months
! In 2011, Google
! JCPenny inserted keywords in thousands of websites for
jcpenny.com
! “Google Jail”(坐牢) for 90 days, such as “Samsonite luggage”
3417/,/7
35. Friendsters(朋友), Fakesters(假
f), and Fraudsters(壞f)
! Friendster
! Launched in March 2002, 3M+ users Nov 2003
! Most social networking sites focusing on dating
! Friendster’s founder: “too anonymous and creepy”; with Jdate, 20
pounds heavier or 20 years older
! Fakesters(假帳號)
! Some fakesters attracted most traffic and the limited server
capacity
! A young Vietnamese(越南) model posted her own provocative
photos(撩f照)
! Was deleted several times but reinserted
! Revenge(報復) by having fraudsters
! Growth slowed considerably
3517/,/7
36. Friendsters, Fakesters, and
Fraudsters
! MySpace
! Launched in Aug, 2003
! Welcome fakesters
! “Everything goes!”
! Vortex of perversion(墮落)
! The red light district on the web
! Brand advertisers
! Risky display
3617/,/7
37. Friendsters, Fakesters, and
Fraudsters
! Facebook
! Started in Feb, 2004
! Strict rules to prevent bad behavior
! Real identities(真實身n) and “real-name culture”
! Initially targeted to college students
! Started with Harvard.edu, expanded to selected groups *.edu
! Open in Sep 2006, 500 regional networks with emails
! Active steps to limit negative behavioral externalities
! Prohibit bully, intimidating(嚇f), harassing; posting hateful,
threatening, pornographic, violence, nudity, drugs, …; blacklist of
forbidden names
! Porn cops(色情警察)
! “Report this” button
3717/,/7
41. Peer Regulation
! Berlin
! Anyone can walk on to a bus or subway without paying
! Plain-clothes inspectors of all ages
! Tourist often risk riding
! Citizens always have proof of fair
! Airbnb
! Public and private review
! No single benchmark needs to apply to every rental
! Myriad context and customer-specific standards
17/,/7 41
在柏林無f公開查票
AirBnB 多樣與客製的租房,公開與私下的意見回饋
42. Self-Regulatory Organization(SRO)
! SRO
! Not the same as the absence of regulation
! The defining, the enforcing, or both, of regulation by parties
other than government
! Policy an industry by formulating regimes of collective
rulemaking
! Like the merchant communities of Maghribi traders
! The modern SRO can audit and penalize members
! The American Medical Association(doctor), the National Association
of Realtors(realtor), and bar association(lawyer)
17/,/7 42
如同摩洛哥商會與現i公會
43. Self-Regulatory
Organization(SRO)
! Workable SROs
! Establish credibility early on through its performance(績效)
! Demonstrate strong enforcement(執行) capabilities
! Perceived as legitimate(合法) and independent(獨立)
! Take advantage of participants’ concerns(參與者考量) and
social capital(社會資產)
! Transportation Network Companies(TNC)
! A self-regulatory by the state of California in 2013
! The California Public Utilities Commission(CPUC) defined a set
of standards for drivers of smartphone-based point-to-point
taxis need to conform
! Delegated this enforcement responsibilities to this
platform(registered as TNC)
17/,/7 43
SRO 可行的四個條lR
加州市授權行動通訊計程車進行自我監管
44. Self-Regulatory
Organization(SRO)
! “Bill ALUR”—new national housing legislation
! A national law passed in March 2014
! Rent out the home in which you live, without having to ask
permission from your local city hall
! Paris, the most visiting city in the world, 40K+ Airbnb hosts
! Homeowners associations(HOAs)
! Minimize the impacts of certain externalities
! Continuous, high-bandwidth relationship with hosts and renters
! A grassroots alternative to zoning for an economy
! The line among the personal, commercial, (and government) are
increasingly blurred
17/,/7 44
法國可以m
意出租住家
家戶聯盟連結個fT商家與政府
45. Data-Driven Delegation
! A quasigovernmental role of a platform
! The delegation of tax collection
! Higher registration rate than directly to government
! Higher tax revenue
! Sidesteps privacy concerns
! Significant opportunities for the platform to build credibility
! Leveraging platform’s data to ensure compliance with a set of
laws
! Ex. Credit card fraud detection, flu prediction of Google vs. CDC
! Discrimination analysis
17/,/7 45
平台的半政府角色
善用平台的數據可以增進適法性
46. Data-Driven Delegation
! Red flag -- discrimination
! Harvard study, 2014
! African American hosts might have lower pricing power than white hosts on
Airbnb
! TaskRabbit’s president, 2014
! Trace data by data scientist: what drives somebody to select a tasker --- a smile
! Mandated transparency
! Raise fewer privacy concern
! Pose lower risk of leaking competitively harmful information
! SEC
! Publicly traded companies provide audited summary evidence(稽核彙整報表)
! Machine learning added value
! Integrate social responsibilities into platform
! Open innovation to its own regulation challenges and unresolved
regulation challenges
17/,/7 46
”視!S
明定的透明性
47. Chap 6
The Shifting Landscape of Regulation
and Consumer Protection
4717/,/7
1AtreCreAeGr 2overA@eAt
52. Summary and beyond
! Summary
! Multi-level self-regulatory platforms
! (Big) Data as a new communication and control intermediary
! The beyond
! New privacy(隱私) issues
! Liability(義務) and insurance(w:)
! Blockchain(區塊鏈)-based exchange and smart-contracts(智
能合約)
17/,/7 52