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Ethical AI: Ensuring Accountability from Automation

Publisher Frost & Sullivan
Published Dec 12, 2023
SKU # MC18381645

Description

Ethical AI: Ensuring Accountability from Automation



Artificial Intelligence (AI) helps reduce or even eliminate human interventions in a wide range of tasks such as speech recognition, decision-making, visual perception, and language translation. AI technologies are increasingly integrated into daily lives, and its influence is growingly visible across various industries.

The approach emphasizing on responsible development and implementation of AI algorithms and solutions forms the core of ethical AI. It encourages AI systems to be designed with fairness, transparency, and respect for human rights. It also addresses data privacy issues and algorithmic bias, including other social risk factors arising from AI deployment.

Ethical AI is a business imperative and not just a moral and social obligation. The absence of defined ethical standards for AI can draw user distrust, regulatory scrutiny and penalties, and damage due to brand images. AI and AI-based services’ long-term success depends on ethical AI, which will encourage meaningful innovation and responsible development, and strengthen public trust in AI.

The ‘Ethical AI: Ensuring Accountability from Automation’ assesses the current developments and emerging opportunities for ethical AI solutions and practices. The report covers the following topics:

An introduction to ethical AI

Factors influencing development and adoption--drivers and challenges

Technological developments

Industry impact

Regulatory landscape

Growth opportunities

Table of Contents

Strategic Imperatives
Why Is It Increasingly Difficult to Grow?The Strategic Imperative 8™: Factors Creating Pressure on Growth
The Strategic Imperative 8™
The Impact of the Top 3 Strategic Imperatives on Ethical AI Technology and Practices
Growth Opportunities Fuel the Growth Pipeline Engine™
Research Methodology
Technology Landscape Assessment and Growth Opportunity Analysis
Scope of Analysis
Segmentation
Growth Drivers
Growth Restraints
Technology Attractiveness Dashboard
Technology Attractiveness Dashboard
Technology Attractiveness Dashboard
Technology Attractiveness Dashboard
Evolution of AI
Technology Landscape and Growth Opportunity Assessment
Need for Ethics in AI
Ethics in AI—Key Pain Points to Consider
Ethics in AI—Key Pain Points to Consider
Examples of AI Implementation
Industry Impact
Industry Impact
Technological Developments and Initiatives
Technological Developments and Initiatives
Technological Developments and Initiatives
Regulatory Landscape and Proposed Policies
Model for Development and Implementation of Ethical AI Systems
Growth Opportunity Universe
Growth Opportunity 1: Advancing Transparent Data Practices
Growth Opportunity 1: Advancing Transparent Data Practices
Growth Opportunity 2: Implementing Bias Mitigation Algorithms
Growth Opportunity 2: Implementing Bias Mitigation Algorithms
Growth Opportunity 3: Adopting Privacy-enhancing Technologies
Growth Opportunity 3: Adopting Privacy-enhancing Technologies
Appendix
Technology Readiness Levels (TRL): Explanation
Next Steps
Your Next Steps
Why Frost, Why Now?
Legal Disclaimer

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