This document discusses socially embodied technologies as a grand challenge that can be addressed through novel sensors, ubiquitous computing, and artificial intelligence. It proposes a solution where epidermal electronic chips and implantable/wearable devices provide sensory feedback to a mentor AI. This would allow the AI to better understand human behavior and perception in order to intelligently educate users through natural communication and customized learning experiences. However, such technologies also raise ethical issues regarding privacy, data usage, and user access that should be addressed through design features like anonymization and user control over personal data collection and access.
Humans vs. the Internet of Things: conciliare tecnologie ed esperienza utenteFulvio Corno
Seminario formativo nel contesto della challenge "Conservazione del cibo, comportamenti sociali e sostenibilità" promossa dal Contamination Lab di Torino nel mese di Novembre 2018.
Humans vs. the Internet of Things: conciliare tecnologie ed esperienza utenteFulvio Corno
Seminario formativo nel contesto della challenge "Conservazione del cibo, comportamenti sociali e sostenibilità" promossa dal Contamination Lab di Torino nel mese di Novembre 2018.
Ambient intelligence is an emerging discipline that brings intelligence to our everyday environments and makes those environments sensitive to us. Ambient intelligence (AmI) research builds upon advances in sensors and sensor networks, pervasive computing, and artificial intelligence.
Human Computer Interaction, Gesture provides a way for computers to understand human body language, Deals with the goal of interpreting hand gestures via mathematical algorithms, Enables humans to interface with the machine (HMI) and interact naturally without any mechanical devices
From Non-Intelligent to Intelligent Environments: a Computational and Ambient...Ahmad Lotfi
Ambient Intelligence refers to a digital environment that proactively supports people in their daily lives. It is an emerging discipline that brings intelligence to our living environments, makes those environments sensitive to us, and adapting according to the user’s needs. By enriching an environment with appropriate sensors and interconnected devices, the environment would be able to sense changes and support decisions that benefit the users of that environment. Such smart environments could help to reduce energy consumption and thus the cost of facilities, improve safety and security, while at the same time increase user’s comfort.
One specific area of interest is the application of ambient intelligence in Ambient Assisted Living, where the home environment provides assistance with daily living activities for people with different cognitive and physical disabilities. For example, technologies are available to help older adults to live longer and more independently in their own homes. To enhance the intelligence of the environment, Computational Intelligence techniques as a set of nature-inspired computational methodologies are available to address such complex problems for which traditional approaches are ineffective.
This lecture will provide a review of the technologies and environments that comprise Ambient Intelligence, as well as how changes in the environment are reflected in the overall design of an adaptive ambient intelligence environment.
Ambient Intelligence perspective from IoT insightPrasan Dutt
This presentation was given to National Institute of Technology, Tiruchirapally (NITT) during Version'16 which is an all India MCA meet. The theme of the meet was Ambient Intelligence which was termed as WITURA by organizing team.
(There is not any copyright violation intended in this slide and purely intended for educational purpose. )
Presented at the Cluj Innovation Days for Digital Medicine & Digital Governance Conference in 2016, this materials speaks about live, work and culture in our technology-driven era. And just as how the recent discovery of gravitational waves changed for ever the world of physics, digital governance will change for ever the human world.
Find a trusted future-ready partner for the next decade of your life.
Security and Privacy Consideration for Internet of Things in Smart Home Envir...IJERD Editor
Internet Of Things(IOT) has emerged as a trustworthy technology to improve the quality of life in
smart homes through offering various automated, interactive and comfortable services. Sensors integrated at
different places in homes, offices, and even in clothes, equipment, and utilities are used to sense and monitor
owners’ positions, movements, required signs, valuable usage, temperature and humidity levels of rooms, etc.
Along with sensing and monitoring capabilities, sensors cooperate and communicate with themselves to deliver;
share and process sensed information and help real-time decision making procedures through activate suitable
alerts and actions. However, ensuring privacy and providing enough security in these required services provided
by IOTs is a major issue in smart home environments. In this paper, we examine the privacy and security
challenges of IOTs and survey its possibilities for smart home environments. We discuss the unique
characteristics that differentiate a smart environment from the rest, elaborate on security and privacy issues and
their respective solution measures. A number of challenges and interesting research issues appearing from this
study have been reported for further analysis.
Ambient intelligence is an emerging discipline that brings intelligence to our everyday environments and makes those environments sensitive to us. Ambient intelligence (AmI) research builds upon advances in sensors and sensor networks, pervasive computing, and artificial intelligence.
Human Computer Interaction, Gesture provides a way for computers to understand human body language, Deals with the goal of interpreting hand gestures via mathematical algorithms, Enables humans to interface with the machine (HMI) and interact naturally without any mechanical devices
From Non-Intelligent to Intelligent Environments: a Computational and Ambient...Ahmad Lotfi
Ambient Intelligence refers to a digital environment that proactively supports people in their daily lives. It is an emerging discipline that brings intelligence to our living environments, makes those environments sensitive to us, and adapting according to the user’s needs. By enriching an environment with appropriate sensors and interconnected devices, the environment would be able to sense changes and support decisions that benefit the users of that environment. Such smart environments could help to reduce energy consumption and thus the cost of facilities, improve safety and security, while at the same time increase user’s comfort.
One specific area of interest is the application of ambient intelligence in Ambient Assisted Living, where the home environment provides assistance with daily living activities for people with different cognitive and physical disabilities. For example, technologies are available to help older adults to live longer and more independently in their own homes. To enhance the intelligence of the environment, Computational Intelligence techniques as a set of nature-inspired computational methodologies are available to address such complex problems for which traditional approaches are ineffective.
This lecture will provide a review of the technologies and environments that comprise Ambient Intelligence, as well as how changes in the environment are reflected in the overall design of an adaptive ambient intelligence environment.
Ambient Intelligence perspective from IoT insightPrasan Dutt
This presentation was given to National Institute of Technology, Tiruchirapally (NITT) during Version'16 which is an all India MCA meet. The theme of the meet was Ambient Intelligence which was termed as WITURA by organizing team.
(There is not any copyright violation intended in this slide and purely intended for educational purpose. )
Presented at the Cluj Innovation Days for Digital Medicine & Digital Governance Conference in 2016, this materials speaks about live, work and culture in our technology-driven era. And just as how the recent discovery of gravitational waves changed for ever the world of physics, digital governance will change for ever the human world.
Find a trusted future-ready partner for the next decade of your life.
Security and Privacy Consideration for Internet of Things in Smart Home Envir...IJERD Editor
Internet Of Things(IOT) has emerged as a trustworthy technology to improve the quality of life in
smart homes through offering various automated, interactive and comfortable services. Sensors integrated at
different places in homes, offices, and even in clothes, equipment, and utilities are used to sense and monitor
owners’ positions, movements, required signs, valuable usage, temperature and humidity levels of rooms, etc.
Along with sensing and monitoring capabilities, sensors cooperate and communicate with themselves to deliver;
share and process sensed information and help real-time decision making procedures through activate suitable
alerts and actions. However, ensuring privacy and providing enough security in these required services provided
by IOTs is a major issue in smart home environments. In this paper, we examine the privacy and security
challenges of IOTs and survey its possibilities for smart home environments. We discuss the unique
characteristics that differentiate a smart environment from the rest, elaborate on security and privacy issues and
their respective solution measures. A number of challenges and interesting research issues appearing from this
study have been reported for further analysis.
Entropy, Software Quality, and Innovation (presented at Princeton Plasma Phys...Andrea Goulet
In his book, The Nature of the Physical World, Sir Arthur Eddington commented that “We have to appeal to the one outstanding law — the second law of thermodynamics — to put some sense into the world.” This sense-making goes beyond the physical world, too. Entropy is also essential in the fields of
information and communication theory.
During this lecture for the Princeton Plasma Physics Laboratory, lecturer Andrea Goulet discussed the application of entropy-related concepts in two communication systems: software and collaborative teams. She examined how concepts that help us understand systemic statistical disorder, such as ergodic systems, Lyapunov exponents, Kolmogorov-Sinai entropy, and Shannon-entropy can help us optimize for both software quality and innovation. She also provided several domain-specific models: Lehman’s Laws and Conway’s Law for software, as well as new models from her own research that relate to entropy and innovation.
Entropy helps us understand the world and achieve great things. There is an underlying beauty in its principles that we can use to advance scientific discovery. When we understand the subtleties related to balancing surprise and structure, we increase our chances for effective collaboration and finding novel solutions to complex problems.
Methods and tools for human centered ICT: from human values to real-life inno...Human Centered ICT
Mulder, I., van Waart, P., Leurs, B. & Choenni, R. Methods and tools for human centered ICT: from human values to real-life innovation. Presented at D-CIS Human Factors day 2008, 10 September 2008.
Introduction–Definition - Future of Artificial Intelligence – Characteristics of Intelligent Agents– Typical Intelligent Agents – Problem Solving Approach to Typical AI problems.
A new wave of artificial intelligence breakthroughs is making it possible for technology to do all sorts of things providing advances in machine learning, neural networks and probabilistic models. Implication of these power-packed technological developments for making a positive application in terms of helping the intellectually disabled people in our society is the key idea. This paper constructs a device, named AiderBot which is specially being designed for the improvisation of people having basic intellectual disability problems. The central concept is integrating various techno-devices like chip’s, sensors and GPS trackers into the device which in turn provides communication and independence for the affected. Giving a hand over for such people and their caretakers, AiderBot behaves as a perfect example for Artificial Intelligence as it is designed to support when the human brain dysfunctions.
Being human (Human Computer Interaction)Rahul Singh
The presentation describes the increasing dependence of the human kind on the Computer systems. The increased variable usage of the machine and much more.
The Revolutionary Progress of Artificial Inteligence (AI) in Health CareSindhBiotech
This Lecture is presented by our 2k23 volunteer Hina Nawaz, she is from Karachi, Pakistan, and she is covering "The Revolutionary Progress of Artificial Inteligence (AI) in Health Care".
Youtube: https://youtu.be/vhJRCj5ZgJc
Do No Harm: Do Technologists Need a Code of Ethics?Thoughtworks
Nothing is neutral, and the technology we design and build, isn’t objective. How do we ensure that what starts out as a great idea, doesn’t unintentionally (or intentionally) harm? Trolling, racially biased algorithms, surveillance capitalism, how do we assess our creations through an ethical lens so our products don’t amplify social biases? Do we need a code of ethics? How do we build ethics in our practice?
In this talk Sofia explores these questions and builds on the conversations that are happening globally within the technology community. She also talks about the Responsible Tech Playbook that ThoughtWorks is building which collate ethical frameworks and explore how to use them in design and delivery of software.
SPEAKER:
Sofia Woods, Senior Experience Designer, ThoughtWorks
Sofia has over 10 years experience solving complex problems and designing digital products, experiences and services across government, financial services, transport and the private sectors. She’s a multi-disciplined designer, experienced with the whole gamut of Human Centred Design approaches including UX research, user interface design, prototyping/ testing and can apply this approach in large scale software delivery environments. Blending human centred design with strategy and technology, she creates meaningful experiences that transform.
Artificial Intelligence (AI) in Education-General.pptx.pdf
The_Docs
1. Socially Embodied Technology – A Grand Challenge
Muhammad Asjad, Ian Comor, Joel Kocherry School of Computer Science And Software Engineering | University of Wollongong
Background
Primary Areas of Solution
Technology Judgment Criteria
• Personal Privacy: These technologies can
violate personal space and intrude into the
person’s private life. Each sensor should have a
single access point fully controllable by the user
to address this issue.
• Usage of Personal Data: Socially embodied
technologies can be used by law enforcement
agencies unethically to catch those who commit
serious crimes (de Marca 2014). Users should
have the option of anonymity or pseudonymity.
• User’s Access Rights to Data: Users should
have the right to access any personal data
collected by the devices, and have the right to
correct and delete them.
• Knowing What is Collected: Users of novel
sensors should be aware of what types of data
is being collected. Mentoring tools, given access
to the device’s feed, should specify what data is
collected and stored.
References
de Marca, JRB 2014, ‘Ethics and...’, IEEE-SSIT
International Symposium on Technology and
Society, 24 may, Chicago, Illinois, U.S.A., IEEE
Xplore.
Flexible Electronics n.d., online image, viewed 25
October 2014, <http://www.nsf.gov/news/
mmg/media/images/flexible_electronics5_f.jpg>.
Glass Like Contact n.d., online image, viewed 25
October 2014,
<http://holmesmarketing.files.wordpress.
com/2013/07/glass-like-contact.jpg?w=300&h=300>.
Printed Electronics n.d., online image, viewed 25
October 2014, <https://62e528761d0685343e1c-
f3d1b99a743ffa4142d9d7f1978d9686.ssl.cf2.rackcd
n.com/files/2845/width668/printedtattoo.jpg>.
VLADGRIN, 93075775, online image of brain,
viewed 24 October 2014, <http://goo.gl/yzi3id>.
Voice Recognition n.d., online image, viewed 25
October 2014, <http://findbiometrics.com/biometric-
images/voice-recognition.jpg>.
We can ask the following questions to judge and compare different
technologies:
• How well “ socially embodied” is the technology?
• Is it capable of autonomous decision making?
• Does it allow natural communication and interaction?
• Can it produce feedback and act on its own according to the
changing requirements?
• Can it effectively teach new concepts?
• How much does it help in knowledge retention?
Ethical Issues and Solutions
• Grand challenges are ambitious and broad
challenges that require innovation across
multiple disciplines to solve them.
• Socially Embodied Technologies cover a
diverse range of devices or tools that can be
embedded in our lives, taking input from their
environment, and in turn affecting it.
• Such devices understand, predict, and adhere
to our needs, all without human instigation. We
would communicate to these devices in the
most natural way possible.
• Artificial Intelligence: Mentor should have
a level of intelligence that it can understand
natural human communication and
behaviour. With this, it can determine the
student’s current level and adapt to it,
forming a curriculum to educate the student.
• Ubiquitous Computing: To enable the
system to be integrated with the user and
environment such that using it will feel like a
natural experience. This will assist in
everyday, directed learning.
• Novel and diverse sensors: Sensors can
enable rich sensing of environmental
information. This can assist artificial
intelligences to respond to natural human
language and behaviour.
Solution
The use of novel and diverse sensors allow a mentor AI to observe
human interactions and behaviour with other people and the
environment. This feedback will allow it ad
1. Epidermal electronic chips that become part of the skin and can
monitor brain signals to sense our emotions, thus leading to better
understanding of human behaviour.
2. Novel Implantable/Wearable devices to provide audio/visual
augmentation(e.g. Visual Cortex Reader) for our senses, and rich
sensing capabilities to improve the mentor’s perception of the
environment.
(Printed Electronics n.d.) (Flexible Electronics n.d.) (Glass Like Contact n.d.) (Voice Recognition n.d.)
3. Advances in AI, NLP and Cognitive Computing will help the
mentor interpret natural human language, determine the
knowledge level of the user, and intelligently educate and promote
learning. Furthermore, it can invent new scenarios and exercises
to teach users with direct experiences all while relying on
audio/visual augmentation and embodied devices.
