For cognitive systems to fulfill their world changing potential, it is vital that people have confidence in their recommendations, judgments and uses. Therefore, the IBM company will make clear: When and for what purposes AI is being applied in the cognitive solutions we develop and deploy. The major sources of data and expertise that inform the insights of cognitive solutions, as well as the methods used to train those systems and solutions. The principle that clients own their own business models and intellectual property and that they can use AI and cognitive systems to enhance the advantages they have built, often through years of experience. We will work with our clients to protect their data and insights, and will encourage our clients, partners and industry colleagues to adopt similar practices.

Published by IBM in Principles for the Cognitive Era, Jan 17, 2017

Developers should make efforts to fulfill their accountability to stakeholders, including AI systems’ users. [Comment] Developers are expected to fulfill their accountability for AI systems they have developed to gain users’ trust in AI systems. Specifically, it is encouraged that developers make efforts to provide users with the information that can help their choice and utilization of AI systems. In addition, in order to improve the acceptance of AI systems by the society including users, it is also encouraged that, taking into account the R&D principles (1) to (8) set forth in the Guidelines, developers make efforts: (a) to provide users et al. with both information and explanations about the technical characteristics of the AI systems they have developed; and (b) to gain active involvement of stakeholders (such as their feedback) in such manners as to hear various views through dialogues with diverse stakeholders. Moreover, it is advisable that developers make efforts to share the information and cooperate with providers et al. who offer services with the AI systems they have developed on their own.

Published by Ministry of Internal Affairs and Communications (MIC), the Government of Japan in AI R&D Principles, Jul 28, 2017

[QUESTIONS] How can AI guarantee respect for personal privacy ? Do our personal data belong to us and should we have the right to delete them? Should we know with whom our personal data are shared and, more generally, who is using these data? Does it contravene ethical guidelines or social etiquette for AI to answer our e mails for us? What else could AI do in our name? [PRINCIPLES] ​The development of AI should offer guarantees respecting personal privacy and allowing people who use it to access their personal data as well as the kinds of information that any algorithm might use.

Published by University of Montreal, Forum on the Socially Responsible Development of AI in The Montreal Declaration for a Responsible Development of Artificial Intelligence, Nov 3, 2017

Sony understands the need for safety when dealing with products and services utilizing AI and will continue to respond to security risks such as unauthorized access. AI systems may utilize statistical or probabilistic methods to achieve results. In the interest of Sony’s customers and to maintain their trust, Sony will design whole systems with an awareness of the responsibility associated with the characteristics of such methods.

Published by Sony Group in Sony Group AI Ethics Guidelines, Sep 25, 2018

Published by Thomson Reuters in Data and AI ethics principles, 2023