MiS 200 Test 1 Review

Security Concerns

- "jailbreaking", carry out illegal commands - using Ai for cyberattacks - One stop shop for attackers to gain critical company data

Limitations to GenAI

- Does not think - has no internal state representation - dependent on data it is trained on - produce falsehoods/hallucinations - cant produce and summarize long-form text - Bad at keeping up with moving data

Transparency Concerns

- Majority of GPTs are proprietary and concentrated in the hands of a small number of major industry plants - transparency into training data, decision-making parameters and "guard rails" are growing increasingly poor - cannot have clarity into how models are arriving at their answers

Outsourcing Reasons

- Reduce cost - Access to talent and skillsets not accessible onshore - Increase availability of internal resources - Increase process efficiencies

Instability Concerns

- Software is by nature unstable - small, seeming insignificant changes can lead to unexpected behavior of models - outcomes could have major consequences

GenAI Capabilities

- generate ideas/brainstorm - summarize research on variety of topics - translate English into many other languages - organize disparate ideas into a cohesive outline - analyze images - produce code - produce diverse texts of almost any kind

Information Privacy

A database of intentions can be said to be an aggregation of data about what people want, purchase, like, are interested in, or are doing; where they are; and whom they know

Internet of Things (IoT)

A network of a broad range of physical objects that can automatically share data over the internet; sometimes these devices communicate with other related devices; ex: heart monitor

People

Builders, managers, and users of information systems

Big Data

Extremely large and complex dataset characterized as being high volume, variety, and velocity

Input to Result

GPT breaks down a prompt into smaller inputs called tokens; Tokens are encoded into embeddings to create relational links

How to use GenAI

GenAI is an iterative process, craft a prompt, regenerate the prompt, analyze response, modify prompt

Components of Information Systems

Hardware, software, and Telecommunication Networks

Knowledge

Information presented in a say to understand, make decisions and predict

Large Language Models

Language-based Neural Networks

Information

Processed and formatted to be made meaningful; does not recognize relationship

Ethical Code of Conduct

Prohibit: -Using a computer to harm others - interfering with other people's computer work - Snooping in other people's files - using a computer to steal - using a computer to bear false witness - copying or using proprietary software without authorization or compensation - appropriating other people's intellectual output

Popular GenAI tools

Text based: Chat GPT, Eden AI Image based: Midjourney, Dall-E Video Based: Fliki, descript

Organizations

The context of information systems

Network Effect

The notion that the value of a network increases with the number of users

Digital Density

The number of people and objects that are connected

Data

The root purpose of information systems; Collect, Organize, Synthase; Raw facts, unformatted, no real meaning

Digital World

a world where technology is used for everything

Neural Network

algorithms that can scan huge amounts of data, analyze it, and identify patterns within it

GenAI

an algorithmic data processing and learning mode designed to be able to dynamically create original content; most are engaged with a "prompt" with the user requesting the tool to provide them with an output that meets the parameters they specify

How GenAI works

effectively a predictive model

Is GenAI an emerging technology or disruptive technology?

emerging

AI

prediction, not understanding

Digital Divide

the advantage those with access to information systems have compared to those without access; Shrinking in America

"Training" AI

with sufficiently large data sets and pattern exposure, Neural Networks can mimic these patterns, producing "original" content that follows the conventions it has learned to identify

Knowlegde workers

workers synthesize knowledge as a fundamental part of their jobs; Undergo several years of formal training to master current information, learn access to new information, and apply knowledge to solve complex problems

Outsourcing challenges

•Operational challenges, losing a day of productivity? •Geo-economic challenges, wars? •Cultural differences, feedback in meetings