LogoLogo
Continuum WebsiteContinuum ApplicationsContinuum KnowledgeAxolotl Platform
Continuum - Models and Applications
Continuum - Models and Applications
  • Continuum Labs - Applied AI
  • Overview
    • What we do
    • Our Features
    • Secure and Private GPU Infrastructure
    • Generative AI Implementation Risks
  • Model Range
    • ⏹️Model Range
    • Investment Management
    • Employment Law
    • Psychology and Mental Health
    • Home Insurance
    • Consumer Surveying
    • Government Grants
    • Aged Care
    • Pharmaceuticals Benefit Scheme
  • Discussion and Use Cases
    • Three ideas for autonomous agent applications
    • Financial Statement analysis with large language models
    • The Evolution of AI Agents and Their Potential for Augmenting Human Agency
    • Better Call Saul - SaulLM-7B - a legal large language model
    • MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models
    • Anomaly detection in logging data
    • ChatDoctor: Artificial Intelligence powered doctors
    • Navigating the Jagged Technological Frontier: Effects of AI on Knowledge Workers
    • Effect of AI on the US labour market
    • Data Interpreter: An LLM Agent For Data Science
    • The impact of AI on the customer support industry
    • Can Large Language Models Reason and Plan?
    • KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents
    • The flaws of 'product-market fit' in an emerging industry
    • Experimental Evidence on the Productivity Effects of Generative Artificial Intelligence
    • The Disruption of the Administrative Class: How Generative AI is Reshaping Organisational Operations
    • How Knowledge Workers Think Generative AI Will (Not) Transform Their Industries
    • Embracing AI: A Strategic Imperative for Modern Leadership
    • Artificial Intelligence and Management: The Automation-Augmentation Paradox
    • Network effects in AI models
    • AI impact on the publishing industry
    • Power asymmetry
    • Information Asymmetry
Powered by GitBook
LogoLogo

Continuum - Accelerated Artificial Intelligence

  • Continuum Website
  • Axolotl Platform

Copyright Continuum Labs - 2023

On this page

Was this helpful?

  1. Overview

Generative AI Implementation Risks

Risk Category
Description
Potential Impact
Mitigation with Continuum

Data Privacy and Confidentiality

Inadvertent sharing of confidential or private information with GenAI systems

Legal liabilities, regulatory penalties, reputational damage

Continuum's secure model hosting and data handling practices ensure strict control over sensitive information

Legal and Regulatory Compliance

Questions around ownership of generated content and potential liabilities

Legal disputes, financial penalties, reputational harm

Continuum stays up-to-date on evolving regulations and provides guidance on compliant use of GenAI

Insecure Code Generation

Reliance on untested AI-generated code introducing vulnerabilities

Data breaches, system compromises, operational disruptions

Continuum's rigorous testing and validation processes ensure the security and reliability of generated code

Trust and Reputation

Inaccurate or biased GenAI outputs published under company name

Loss of customer trust, damage to brand reputation, financial losses

Continuum's custom model training and output monitoring mitigate the risk of inaccurate or biased results

Workflow Disruption

GenAI changing workflows and being used by employees in various roles

Inconsistent practices, decreased productivity, security gaps

Continuum works closely with clients to integrate GenAI into workflows while maintaining security and efficiency

Prompt Injection Attacks

Malicious prompts manipulating GenAI systems to produce harmful outputs

Data leakage, system compromise, reputational damage

Continuum implements robust prompt filtering and validation to prevent prompt injection attacks

Voice Spoofing Attacks

Synthetic voice generation used for impersonation and fraud

Financial losses, reputational harm, erosion of trust

Continuum develops advanced detection capabilities to identify and prevent voice spoofing attacks

Model Bias and Fairness

GenAI models reflecting societal biases or discriminating against certain groups

Legal liabilities, reputational damage, erosion of public trust

Continuum employs rigorous testing and auditing to identify and mitigate model biases

Lack of Interpretability

Difficulty understanding and explaining GenAI decision-making processes

Regulatory non-compliance, lack of accountability, erosion of trust

Continuum prioritizes interpretability and provides clear explanations of model outputs

Insider Threats

Malicious insiders exploiting GenAI access for unauthorized purposes

Data theft, system sabotage, reputational harm

Continuum implements strict access controls and monitoring to detect and prevent insider threats

PreviousSecure and Private GPU InfrastructureNextModel Range

Last updated 11 months ago

Was this helpful?