Here are takeaways from three sessions after recently wrapping three 2023 Salesforce Dreamin’ conferences …
Here are highlights from article Navigating the Tumultuous Waters of AI, Ethics, and Accessibility
1. Ethical concerns in AI development:
– AI’s ethics framework traces its roots to the 1979 Belmont Report, which laid the ethical foundation for human subjects research in medicine and social sciences.
– The framework includes principles such as human autonomy, beneficence, and justice.
– AI developers need to consider the potential impacts of AI technologies on individuals, society, and the environment.
2. Risks of predictive AI and language models:
– Predictive AI and language models have significant ethical and social risks.
– These risks include producing discrimination, exclusion, toxicity, and misinformation.
– Malicious actors can misuse these models for spreading misinformation.
3. AI’s potential impact on accessibility:
– AI raises questions about who gets to have access to it and who doesn’t.
– Accessibility of AI technologies should be considered to ensure equitable access and the equal distribution of benefits.
– The impact of AI on accessibility needs to be examined and addressed.
4. AI’s history and development:
– AI development dates back to 1966 with the creation of ELIZA, the world’s earliest AI chatbot.
– Understanding the history of AI development helps in understanding the philosophies, ethical concerns, and questions that have arisen as a result.
– It provides a context for discussing the current state and future of AI.
5. Responsible development and deployment of AI:
– Responsible development and deployment of AI is crucial.
– Ethical considerations should be integrated into the development process to minimize harm and maximize human well-being.
– The responsible use of AI technologies aligns with shared values and ensures their positive impact on individuals, society, and the environment.
You can read it here: https://sfdc.blog/rOPzu
Source from thespotforpardot(dot)com