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