Issues in I.C.T.

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SFDC

luonut neil harrington

Prejudices (when other people think)

luonut Javier Sánchez-Collado

Nicholas Winton

luonut Leidy Ibañez

IT Security Terms

luonut Usama Amin

Issues in I.C.T.

Technology Advancements (Assistive Technology, Augmented Reality, Artificial Intelligence)

Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans.

Some of the activities computers with artificial intelligence are designed for include: Speech recognition Learning Planning Problem solving

Augmented reality (AR) is the integration of digital information with the user's environment in real time. Unlike virtual reality, which creates a totally artificial environment, augmented reality uses the existing environment and overlays new information on top of it.

For example： Apple's Augmented Reality Platform Video Apple Spatial Computing Promotional Video

“Assistive technology is technology used by individuals with disabilities in order to perform functions that might otherwise be difficult or impossible. “

A variety of assistive technology is available today Limited hand function: may use a keyboard with large keys or a special mouse to operate a computer, Visual impairments: may use software that reads text on the screen in a computer-generated voice or enlarges screen content People with speech impairments may use a device that speaks out loud as they enter text via a keyboard

Magnifiers, Talking devices such as a talking thermostat, Braille displays, Screen reading software, Text-to-speech systems using Optical Character Recognition (OCR), Large print materials, and Phones with large tactile buttons.

Biometrics

“Biometrics refers to technologies used to detect and recognize human physical characteristics."

In the IT world, biometrics is often synonymous with "biometric authentication," a type of security authorization based on biometric input

1.Fingerprint scanning 2.Retinal scanning 3.Facial recognition 4.Voice analysis

Biometrics may be near impossible to replicate, but there are some disadvantages: 1.Cost-significant investment 2.Data Breach-Databases can be hacked 3.Tracking & Data-Limit privacy for user 4.Bias-machine learning and algorithms must minimize demographic bias

A facial recognition system, for instance, uses a camera to capture an image of a person's face. The photograph is then recorded and processed using biometrics software.