Ethical AI: Ensuring Accountability from Automation

Ethical AI: Ensuring Accountability from Automation

Transparent data, bias mitigation, and privacy-enhancing technologies to ensure trustworthy data practices

RELEASE DATE
12-Dec-2023
REGION
Global
Research Code: DAC7-01-00-00-00
SKU: IT_2023_407
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$4,950.00
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Description

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

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

Scope of Analysis

Segmentation

Growth Drivers

Growth Restraints

Technology Attractiveness Dashboard

Technology Attractiveness Dashboard (continued)

Technology Attractiveness Dashboard (continued)

Evolution of AI

Need for Ethics in AI

Ethics in AI—Key Pain Points to Consider

Ethics in AI—Key Pain Points to Consider (continued)

Examples of AI Implementation

Industry Impact

Industry Impact (continued)

Technological Developments and Initiatives

Technological Developments and Initiatives (continued)

Technological Developments and Initiatives (continued)

Regulatory Landscape and Proposed Policies

Model for Development and Implementation of Ethical AI Systems

Growth Opportunity 1: Advancing Transparent Data Practices

Growth Opportunity 1: Advancing Transparent Data Practices (continued)

Growth Opportunity 2: Implementing Bias Mitigation Algorithms

Growth Opportunity 2: Implementing Bias Mitigation Algorithms (continued)

Growth Opportunity 3: Adopting Privacy-enhancing Technologies

Growth Opportunity 3: Adopting Privacy-enhancing Technologies (continued)

Technology Readiness Levels (TRL): Explanation

Your Next Steps

Why Frost, Why Now?

Legal Disclaimer

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
More Information
Author soumyadeep chowdhury
Industries Information Technology
No Index No
Is Prebook No
Keyword 1 Automation Ethics Trends
Keyword 2 Ethical AI Best Practices
Keyword 3 Regulatory Compliance in AI
Podcast No
WIP Number DAC7-01-00-00-00