Learn what is accountability, one of the Salesforce Trusted AI Principles that guides the development and use of AI systems that are responsible, ethical, and beneficial for all, and how it involves taking responsibility for one’s actions toward customers, partners, and society.
Table of Contents
Question
What is the main focus of the Accountability principle in Salesforce’s Trusted AI Principles?
A. Safeguarding fundamental human rights and protecting sensitive data
B. Taking responsibility for one’s actions toward customers, partners, and society
C. Ensuring transparency In Al-driven recommendations and predictions
Answer
B. Taking responsibility for one’s actions toward customers, partners, and society
Explanation
The correct answer is B. Taking responsibility for one’s actions toward customers, partners, and society. Accountability is one of the Salesforce Trusted AI Principles that guides the development and use of AI systems that are responsible, ethical, and beneficial for all. Accountability means that the developers and users of AI systems are aware of the impacts and implications of their actions, and that they take ownership and remediate any harm or error that may occur. According to the Salesforce website, accountability involves:
- Seeking independent feedback for continuous improvement of our practice and policies
- Working to mitigate harm to customers and consumers
- Engaging with external stakeholders, such as regulators, academics, and civil society, to share best practices and learn from each other
- Participating in industry initiatives and coalitions to advance ethical and humane use of technology
By following the principle of accountability, Salesforce aims to build trust and confidence in its AI systems, and to contribute to the advancement and well-being of society.
The main focus of the Accountability principle in Salesforce’s Trusted AI Principles is taking responsibility for one’s actions toward customers, partners, and society. Accountability means that AI systems should be designed and developed with respect for the impact and consequences of their actions on others. Accountability also means that AI developers and users should be aware of and adhere to the ethical, legal, and regulatory standards and expectations of their industry and domain.
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