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Technology & Social Interac2on
A ten years outlook on the impact of technology on human rela2ons
by Antonio Addario
By Antonio Addario
Let’s define Social Interac2on first
“Social interac2on is the mutual influences that individuals and groups have on one another in their aCempts to solve problems and in their striving towards goals.” -‐ Green
By Antonio Addario
There are five major types of Social Interac2on
Coopera'on: working together in the pursuit of common interests or common goal Compe''on: two or more people or groups oppose each other to achieve a goal that only one can aCain Conflict: deliberate aCempt to oppose, resist or coerce the will of another or others Accommoda'on: resolu2on of conflict by adjus2ng oneself to the new environment Assimila'on: the process whereby persons and groups acquire the culture of the other persons and groups in which they come to live
By Antonio Addario
Coopera'on Open Source, Crowd Funding, Online Da2ng, Peer-‐to-‐Peer Data Sharing, Social Networking, Mul2lingual Transla2on Services
Compe''on Mul2player Online Gaming, Data Intelligence, Analy2cs, Social Influence Ranking, Online Reviews
Conflict Cyber ACacks, Cyber Bulling, Unmanned Combat Vehicles
Accommoda'on Privacy Exposure, Online Iden2ty Management, Digital Security
Assimila'on Digital Alter-‐Ego, Hyper-‐connec2vity, Asynchronous Communica2on, increased Transparency and Accountability, Decline in interpersonal physical rela2ons
1. hCp://en.wikipedia.org/wiki/Digital_Revolu2on
All types of Social Interac2ons are impacted by technological innova2on
We are living in the Digital Revolu2on1, we have plenty of examples of how our lives have been affected by technology
By Antonio Addario
The following technologies1 will have transforma2onal impact on human rela2ons in the next decade2
1. Gartner: Top Technology Predic2ons for IT Organiza2ons and Users for 2020 and beyond 2. McKinsey Global: MGI_Disrup2ve_technologies_Full_report_May2013
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potential of these technologies to drive economic impact and disruption and do not represent our estimates of the potential economic impact by 2025, which we describe in Exhibit E3 below. These numbers are not exhaustive; they are indicative and do not represent all possible applications or potential impacts for each technology.
Twelve potentially economically disruptive technologies Exhibit E1
SOURCE: McKinsey Global Institute analysis
Mobile Internet Increasingly inexpensive and capable mobile computing devices and Internet connectivity
Automation of knowledge work
Intelligent software systems that can perform knowledge work tasks involving unstructured commands and subtle judgments
The Internet of Things Networks of low-cost sensors and actuators for data collection, monitoring, decision making, and process optimization
Cloud technology Use of computer hardware and software resources delivered over a network or the Internet, often as a service
Advanced robotics Increasingly capable robots with enhanced senses, dexterity, and intelligence used to automate tasks or augment humans
Autonomous and near-autonomous vehicles
Vehicles that can navigate and operate with reduced or no human intervention
Next-generation genomics Fast, low-cost gene sequencing, advanced big data analytics, and synthetic biology (“writing” DNA)
Energy storage Devices or systems that store energy for later use, including batteries
3D printing Additive manufacturing techniques to create objects by printing layers of material based on digital models
Advanced materials Materials designed to have superior characteristics (e.g., strength, weight, conductivity) or functionality
Advanced oil and gas exploration and recovery
Exploration and recovery techniques that make extraction of unconventional oil and gas economical
Renewable energy Generation of electricity from renewable sources with reduced harmful climate impact
E1
4
potential of these technologies to drive economic impact and disruption and do not represent our estimates of the potential economic impact by 2025, which we describe in Exhibit E3 below. These numbers are not exhaustive; they are indicative and do not represent all possible applications or potential impacts for each technology.
Twelve potentially economically disruptive technologies Exhibit E1
SOURCE: McKinsey Global Institute analysis
Mobile Internet Increasingly inexpensive and capable mobile computing devices and Internet connectivity
Automation of knowledge work
Intelligent software systems that can perform knowledge work tasks involving unstructured commands and subtle judgments
The Internet of Things Networks of low-cost sensors and actuators for data collection, monitoring, decision making, and process optimization
Cloud technology Use of computer hardware and software resources delivered over a network or the Internet, often as a service
Advanced robotics Increasingly capable robots with enhanced senses, dexterity, and intelligence used to automate tasks or augment humans
Autonomous and near-autonomous vehicles
Vehicles that can navigate and operate with reduced or no human intervention
Next-generation genomics Fast, low-cost gene sequencing, advanced big data analytics, and synthetic biology (“writing” DNA)
Energy storage Devices or systems that store energy for later use, including batteries
3D printing Additive manufacturing techniques to create objects by printing layers of material based on digital models
Advanced materials Materials designed to have superior characteristics (e.g., strength, weight, conductivity) or functionality
Advanced oil and gas exploration and recovery
Exploration and recovery techniques that make extraction of unconventional oil and gas economical
Renewable energy Generation of electricity from renewable sources with reduced harmful climate impact
E1
Mobility Compu2ng
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potential of these technologies to drive economic impact and disruption and do not represent our estimates of the potential economic impact by 2025, which we describe in Exhibit E3 below. These numbers are not exhaustive; they are indicative and do not represent all possible applications or potential impacts for each technology.
Twelve potentially economically disruptive technologies Exhibit E1
SOURCE: McKinsey Global Institute analysis
Mobile Internet Increasingly inexpensive and capable mobile computing devices and Internet connectivity
Automation of knowledge work
Intelligent software systems that can perform knowledge work tasks involving unstructured commands and subtle judgments
The Internet of Things Networks of low-cost sensors and actuators for data collection, monitoring, decision making, and process optimization
Cloud technology Use of computer hardware and software resources delivered over a network or the Internet, often as a service
Advanced robotics Increasingly capable robots with enhanced senses, dexterity, and intelligence used to automate tasks or augment humans
Autonomous and near-autonomous vehicles
Vehicles that can navigate and operate with reduced or no human intervention
Next-generation genomics Fast, low-cost gene sequencing, advanced big data analytics, and synthetic biology (“writing” DNA)
Energy storage Devices or systems that store energy for later use, including batteries
3D printing Additive manufacturing techniques to create objects by printing layers of material based on digital models
Advanced materials Materials designed to have superior characteristics (e.g., strength, weight, conductivity) or functionality
Advanced oil and gas exploration and recovery
Exploration and recovery techniques that make extraction of unconventional oil and gas economical
Renewable energy Generation of electricity from renewable sources with reduced harmful climate impact
E1
4
potential of these technologies to drive economic impact and disruption and do not represent our estimates of the potential economic impact by 2025, which we describe in Exhibit E3 below. These numbers are not exhaustive; they are indicative and do not represent all possible applications or potential impacts for each technology.
Twelve potentially economically disruptive technologies Exhibit E1
SOURCE: McKinsey Global Institute analysis
Mobile Internet Increasingly inexpensive and capable mobile computing devices and Internet connectivity
Automation of knowledge work
Intelligent software systems that can perform knowledge work tasks involving unstructured commands and subtle judgments
The Internet of Things Networks of low-cost sensors and actuators for data collection, monitoring, decision making, and process optimization
Cloud technology Use of computer hardware and software resources delivered over a network or the Internet, often as a service
Advanced robotics Increasingly capable robots with enhanced senses, dexterity, and intelligence used to automate tasks or augment humans
Autonomous and near-autonomous vehicles
Vehicles that can navigate and operate with reduced or no human intervention
Next-generation genomics Fast, low-cost gene sequencing, advanced big data analytics, and synthetic biology (“writing” DNA)
Energy storage Devices or systems that store energy for later use, including batteries
3D printing Additive manufacturing techniques to create objects by printing layers of material based on digital models
Advanced materials Materials designed to have superior characteristics (e.g., strength, weight, conductivity) or functionality
Advanced oil and gas exploration and recovery
Exploration and recovery techniques that make extraction of unconventional oil and gas economical
Renewable energy Generation of electricity from renewable sources with reduced harmful climate impact
E1
Internet Of Things
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potential of these technologies to drive economic impact and disruption and do not represent our estimates of the potential economic impact by 2025, which we describe in Exhibit E3 below. These numbers are not exhaustive; they are indicative and do not represent all possible applications or potential impacts for each technology.
Twelve potentially economically disruptive technologies Exhibit E1
SOURCE: McKinsey Global Institute analysis
Mobile Internet Increasingly inexpensive and capable mobile computing devices and Internet connectivity
Automation of knowledge work
Intelligent software systems that can perform knowledge work tasks involving unstructured commands and subtle judgments
The Internet of Things Networks of low-cost sensors and actuators for data collection, monitoring, decision making, and process optimization
Cloud technology Use of computer hardware and software resources delivered over a network or the Internet, often as a service
Advanced robotics Increasingly capable robots with enhanced senses, dexterity, and intelligence used to automate tasks or augment humans
Autonomous and near-autonomous vehicles
Vehicles that can navigate and operate with reduced or no human intervention
Next-generation genomics Fast, low-cost gene sequencing, advanced big data analytics, and synthetic biology (“writing” DNA)
Energy storage Devices or systems that store energy for later use, including batteries
3D printing Additive manufacturing techniques to create objects by printing layers of material based on digital models
Advanced materials Materials designed to have superior characteristics (e.g., strength, weight, conductivity) or functionality
Advanced oil and gas exploration and recovery
Exploration and recovery techniques that make extraction of unconventional oil and gas economical
Renewable energy Generation of electricity from renewable sources with reduced harmful climate impact
E1
Cloud Technology
4
potential of these technologies to drive economic impact and disruption and do not represent our estimates of the potential economic impact by 2025, which we describe in Exhibit E3 below. These numbers are not exhaustive; they are indicative and do not represent all possible applications or potential impacts for each technology.
Twelve potentially economically disruptive technologies Exhibit E1
SOURCE: McKinsey Global Institute analysis
Mobile Internet Increasingly inexpensive and capable mobile computing devices and Internet connectivity
Automation of knowledge work
Intelligent software systems that can perform knowledge work tasks involving unstructured commands and subtle judgments
The Internet of Things Networks of low-cost sensors and actuators for data collection, monitoring, decision making, and process optimization
Cloud technology Use of computer hardware and software resources delivered over a network or the Internet, often as a service
Advanced robotics Increasingly capable robots with enhanced senses, dexterity, and intelligence used to automate tasks or augment humans
Autonomous and near-autonomous vehicles
Vehicles that can navigate and operate with reduced or no human intervention
Next-generation genomics Fast, low-cost gene sequencing, advanced big data analytics, and synthetic biology (“writing” DNA)
Energy storage Devices or systems that store energy for later use, including batteries
3D printing Additive manufacturing techniques to create objects by printing layers of material based on digital models
Advanced materials Materials designed to have superior characteristics (e.g., strength, weight, conductivity) or functionality
Advanced oil and gas exploration and recovery
Exploration and recovery techniques that make extraction of unconventional oil and gas economical
Renewable energy Generation of electricity from renewable sources with reduced harmful climate impact
E1
Autonomous Machines
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potential of these technologies to drive economic impact and disruption and do not represent our estimates of the potential economic impact by 2025, which we describe in Exhibit E3 below. These numbers are not exhaustive; they are indicative and do not represent all possible applications or potential impacts for each technology.
Twelve potentially economically disruptive technologies Exhibit E1
SOURCE: McKinsey Global Institute analysis
Mobile Internet Increasingly inexpensive and capable mobile computing devices and Internet connectivity
Automation of knowledge work
Intelligent software systems that can perform knowledge work tasks involving unstructured commands and subtle judgments
The Internet of Things Networks of low-cost sensors and actuators for data collection, monitoring, decision making, and process optimization
Cloud technology Use of computer hardware and software resources delivered over a network or the Internet, often as a service
Advanced robotics Increasingly capable robots with enhanced senses, dexterity, and intelligence used to automate tasks or augment humans
Autonomous and near-autonomous vehicles
Vehicles that can navigate and operate with reduced or no human intervention
Next-generation genomics Fast, low-cost gene sequencing, advanced big data analytics, and synthetic biology (“writing” DNA)
Energy storage Devices or systems that store energy for later use, including batteries
3D printing Additive manufacturing techniques to create objects by printing layers of material based on digital models
Advanced materials Materials designed to have superior characteristics (e.g., strength, weight, conductivity) or functionality
Advanced oil and gas exploration and recovery
Exploration and recovery techniques that make extraction of unconventional oil and gas economical
Renewable energy Generation of electricity from renewable sources with reduced harmful climate impact
E1
Gene2c engineering
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potential of these technologies to drive economic impact and disruption and do not represent our estimates of the potential economic impact by 2025, which we describe in Exhibit E3 below. These numbers are not exhaustive; they are indicative and do not represent all possible applications or potential impacts for each technology.
Twelve potentially economically disruptive technologies Exhibit E1
SOURCE: McKinsey Global Institute analysis
Mobile Internet Increasingly inexpensive and capable mobile computing devices and Internet connectivity
Automation of knowledge work
Intelligent software systems that can perform knowledge work tasks involving unstructured commands and subtle judgments
The Internet of Things Networks of low-cost sensors and actuators for data collection, monitoring, decision making, and process optimization
Cloud technology Use of computer hardware and software resources delivered over a network or the Internet, often as a service
Advanced robotics Increasingly capable robots with enhanced senses, dexterity, and intelligence used to automate tasks or augment humans
Autonomous and near-autonomous vehicles
Vehicles that can navigate and operate with reduced or no human intervention
Next-generation genomics Fast, low-cost gene sequencing, advanced big data analytics, and synthetic biology (“writing” DNA)
Energy storage Devices or systems that store energy for later use, including batteries
3D printing Additive manufacturing techniques to create objects by printing layers of material based on digital models
Advanced materials Materials designed to have superior characteristics (e.g., strength, weight, conductivity) or functionality
Advanced oil and gas exploration and recovery
Exploration and recovery techniques that make extraction of unconventional oil and gas economical
Renewable energy Generation of electricity from renewable sources with reduced harmful climate impact
E1
3D Prin2ng
Nanotechnologies
Automa2on of Knowledge Work
Increasingly inexpensive and capable mobile compu2ng devices and Internet connec2vity
Intelligent sodware systems that can perform knowledge work tasks involving unstructured commands and subtle judgments
Networks of low-‐cost sensors and actuators for data collec2on, monitoring, decision making, and process op2miza2on
Use of computer hardware and sodware resources delivered over a network or the Internet, oden as a service
Increasingly capable robots with enhanced senses, dexterity, and intelligence used to automate tasks or augment humans
Fast, low-‐cost gene sequencing, advanced big data analy2cs, and synthe2c biology (“wri2ng” DNA)
Addi2ve manufacturing techniques to create objects by prin2ng layers of material based on digital models
Engineering of func2onal systems at the molecular scale
By Antonio Addario
Coopera2on will occur globally regardless of geographical and cultural barriers, value exchange will increase
Key Aspects • Mobility and internet connec2vity will further
develop socially and geographically distributed thinking and value exchange
• Predic2ve data-‐driven applica2ons will provide personalized and relevant interac2ons
• Speech recogni2on will remove language barriers
• The Internet of Things will connect machines, people and businesses blurring the line between human-‐machine rela2ons
• More than half of consumer goods manufacturers will receive 75 percent of their consumer innova2on through crowdsourcing1
• Augmented Reality will enrich our understanding of people and our surroundings
• Social rela2ons will be more transparent, honest and authen2c because of the availability and depth of informa2on
• Bio-‐prin2ng could poten2ally solve many health issues in under developed countries
World's largest crowdfunding plajorm. The company’s stated mission is to help bring crea2ve projects to life.
Highlight is an social networking applica2on that finds nearby users and shows things they have in common with you.
Proof Points -‐ Examples
By Antonio Addario
Compe22on will increase, but it will enable smaller players to take on bigger ones
Key Aspects • The Internet penetra2on increase from
2.8B in 2013 to 5B by 2020 will make the world a truly global compe22ve market
• Individuals with a strong digital social status will have a significant compe22ve advantage
• Advanced robo2cs will lead to further automa2on causing job losses, but also increasing the value of crea2ve individuals
• Cloud-‐based services will help level the playing field for small organiza2ons and developing na2ons, offering low-‐cost high-‐performance ping na2ons and small
• Usage of Data will become more and more a strategic compe22ve advantage for individuals and organiza2ons able to capitalize on that
Baxter Robot1 performs a variety of repe22ve produc2on tasks safely and working next to people1
1. By RethinkRobo2cs
Klout is a influence ranking program that scans and pulls informa2on from various social media profiles, including Facebook, TwiCer and couple of others.
Proof Points -‐ Examples
By Antonio Addario
Key Aspects • Prolifera2on of unmanned combat robots • Rising risks of security and privacy
breaches as reliance on digital services will con2nuously increase
• Risk of gene2c engineering being misused to obtain gene2c altera2ons and enhancement, or discriminate individuals
• By 20201, enterprises and governments will fail to protect 75 percent of sensi2ve data, and declassify and grant broad/public access to it. Enterprises and governments will focus on protec2ng only a small part of it, but protec2ng it well. This could lead to iden2ty thed and social re-‐engineering
• 3D prin2ng and scanning will facilitate IP thed
• Nanotech will be developed for soldier enhancement and chemical weapons
Conflict interac2ons will be gelng more sophis2cated and scarier especially at the macro-‐level, the “Terminator” is not far away
“U.S. military may have 10 robots per soldier by 2023” ScoC Hartley, Senior research engineer and co-‐founder of 5D Robo2cs
1. Gartner: Top Technology Predic2ons for IT Organiza2ons and Users for 2020 and beyond
Proof Points -‐ Examples
By Antonio Addario
Such development of Conflict-‐type interac2ons may require dras2c Accommoda2on measures
Key Aspects • The Robo2za2on of military forces will further
increase the dominance of leading na2ons. The reduc2on of own casual2es during conflicts will also cause less internal poli2cal resistance, and hence poten2ally trigger more acts of war.
• The ever increasing cases of digital fraud and sensi2ve informa2on leaking will likely trigger a spike in adop2on of encryp2on and digital security services, but also being “hacked and watched” will be more socially accepted
• Some pre-‐digital revolu2on constructs like Copyrigh2ng and Patent law might become obsolete or significantly reformed given their increasing lack of effec2veness or relevance
• Interna2onal Non-‐Governmental-‐Organiza2ons will flourish to help individuals around the globe to deal with hegemonic governments and criminal organiza2ons
Proof Points -‐ Examples
Pirate Party is a label adopted by poli2cal par2es in different countries. Pirate par2es support civil rights, direct democracy and par2cipa2on in government, reform of copyright and patent law, free sharing of knowledge, informa2on privacy, transparency, freedom of informa2on and network neutrality.
PLUG a data-‐storage device that could combat the government's data-‐collec2on surveillance program known as PRISM. In just nine days, the developers received more than $500,000 in dona2ons.
By Antonio Addario
The Assimila2on processes will accelerate thanks to the connected global society
Key Aspects • In the next decade we’ll make the more
steps towards a global assimila2on process that will form ONE global culture. Evidence of this is higher in young genera2ons which are: comfortably communica2ng in English; spending the majority of their 2me connected and consuming interna2onally produced media content; adop2ng global fashion trends. The size of these global ci2zen will increase, and a more balanced cross pollina2on between Eastern and Western cultures will occur.
• Individuals aCracted by aspects of other cultures will make them their own, and even demand them via various means like poli2cs and legisla2on.
• Conscious of the value of data, by 2017, 80 percent of consumers will collect, track and barter their personal data for cost savings, convenience and customiza2on1.
The infamous music video GangNam Style has now reached the staggering 1,885,927,665 views on YouTube. This is an example of how culture (in this case pop-‐culture) can rapidly spread in a connected society
1. Gartner: Top Technology Predic2ons for IT Organiza2ons and Users for 2020 and beyond 2. 2. FoxNews December 2013
Versions of Black Friday now take place in Mexico, Chile, Argen2na, Colombia, Ecuador, Costa Rica, Panama, Nicaragua, El Salvador, Honduras, Peru and Brazil. This North American import con2nues to grow every year2
Proof Points -‐ Examples
By Antonio Addario
Conclusions
• We expect social interac2ons to become more sophis2cated and meaningful in the next decade, this will largely be due to smart u2liza2on of data and connected devices.
• Technology will become even more entrenched into our lives, and boundaries between human and machine interac2on will blur. Our digital presence will just become an extension of us, no longer a digital alter-‐ego.
• Exis2ng social interac2on dynamics and paradigms will be challenged and in some cases loose relevance and/or become obsolete; privacy and copyright are a typical example of this. Purely physical face-‐to-‐face interac2on won’t necessarily be the most meaningful nor the preferred method of communica2on among individuals.
• Robo2za2on, gene2c engineering, and nanotechnology could greatly enhance our quality of life, but also represents the biggest threats to our society if they will end up in the wrong hands.
• Overall we can conclude that technology will contribute to improve and enhance the quality of social interac2ons, but not without risks. Policy makers and socie2es will have to con2nuously monitor and adopt correc2ve measures as necessary.