Final answer:
To achieve transparency and explainability in the realm of data-driven technologies, communication should be clear, concise, and coherent, avoiding jargon and emphasizing clarity even when dealing with complex technologies such as artificial intelligence. Effective communication is fundamental in collaborative environments and necessary for successfully conveying technical information across various domains.
Step-by-step explanation:
To uphold transparency and explainability, communication about data-driven technologies should be clear, concise, and coherent. In the context of data-driven technologies, ensuring that all steps of the design process are documented and that decisions are justified is crucial. The science behind the chosen solutions must be understood, elucidating factors and weights of requirements and constraints. Moreover, measurements underlie the Scientific Method, highlighting the need for results to be communicated effectively to enable peer verification and knowledge sharing.
The significance of transparent communication stretches over large scale processes and is essential for collaboration between multiple parties, especially in a long-distance setup. To work successfully, technology must be leveraged to share information securely and facilitate critical discussions using non-technical language and a shared understanding of priorities. Additionally, when communicating, it is required to avoid using specific terms or jargon and to practice clear enunciation and respect.
Since we live in a data-rich world, the capacity to properly understand and convey information is increasingly valued across professional spheres. Ensuring clarity in the dissemination of information by using visuals and media that are of high quality is also a key part of maintaining transparency. This becomes even more relevant when tackling the transparency of artificial intelligence, a challenging aspect that needs clear legal definitions.
It's acknowledged that artificial intelligence poses unpredictable challenges, and efforts must be made to increase transparency, particularly regarding algorithmic biases. Proficient report writers in various fields employ language that is clear, direct, economical, and conventional, making use of specialized vocabulary for precise communication amongst experts, thereby balancing clarity with technical accuracy in a highly adaptable manner.