TRANSPARENCY AS A CORE PRINCIPLE OF AI ETHICS
There are questions on unethical practices especially on data handling and how information is used to develop AI models. In some cases, like Scarlett Johannson’s disapproval of OpenAI’s supposed cloning of her voice for their model, AI companies have denied engaging in unethical practices.
The situation calls for a solution, and transparency as a core principle of AI ethics is an answer.
Transparency in AI ethics means that the operations, decision-making processes, and data usage of AI systems are open and understandable to all stakeholders.
This principle is essential for building trust, ensuring accountability, and promoting the responsible development of AI technologies.
WHY TRANSPARENCY?
To Build Trust and Accountability - AI developers and users need a medium of engaging without fear of unethical practices. When users understand how an AI system makes decisions, they are more likely to trust it. Moreover, transparency ensures that developers can be held accountable for the actions of their AI systems.
To Identify Bias and Implement Fairness - By making AI algorithms and data usage transparent, it becomes easier to identify and correct biases. This ensures that AI systems are fair and do not discriminate against any group.
For Improved Performance - Transparency allows for external scrutiny and feedback, which can lead to improvements in AI systems. Openly sharing data and methodologies invites collaborative efforts to refine and enhance AI technologies.
USE CASES OF TRANSPARENCY IN AI DEVELOPMENT
Healthcare AI Systems - Merative (formerly IBM Watson Health) provides detailed information on how its AI analyzes medical data and makes recommendations. This transparency helps healthcare providers understand and trust AI-assisted diagnoses and treatment plans, leading to better patient outcomes.
Autonomous Vehicles - Waymo, a leader in self-driving technology, publishes detailed safety reports and the decision-making processes of its autonomous vehicles. This transparency helps build public trust in the safety and reliability of self-driving cars, accelerating their acceptance and adoption.
Transparency is necessary for the adoption of AI and the use of personal data as outlined by the GDPR. AI systems, businesses, and initiatives must incorporate this vital area of AI ethics into their practice. Users who are affected by AI products and services deserve to know what is going on with their data or how these systems touch on them in any way.
What do you think?