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Responsible and ethical AI-Adoption Survey

"Shape the Future of AI in Business: Boards Members, Corporate Leaders and Professionals Invited to Share Insights on Responsible and Ethical AI Integration – Take Our Survey Now"

In an era where artificial intelligence is transforming industries, the dialogue around ethical and responsible integration of AI technologies into business practices has never been more critical. We are at a juncture where the decisions we make will significantly influence not only our immediate operations but also the broader societal impact of AI. This survey aims to gather diverse perspectives from board members and corporate leaders across various sectors, focusing on the challenges, opportunities, and ethical considerations that come with AI integration. Your inputs will be instrumental in crafting a comprehensive framework that supports the advancement of AI technologies in a manner that is both innovative and ethically responsible.

 

We invite you taking just four minutes of your time now to complete this survey, which keeps open.
 

Winner out of the Early Participants: We are delighted to announce the exclusive incentive to the selected winner of all early participants having qualified for a special prize: a private AI-Talk session with a special guest in applied AI strategy and innovation.
The winner has been directly else informed. Congratulations and Thank you again for all for your participation.

 

You - Demographics
Business Organisation
"Shape the Future of Ethical AI" - Pivotal Survey

The Adoption of responsible and ethical AI, GenAI, or LLM is an unprecedented shift into the workplace for better efficiency, automation, or into business for developing new business models for delivering more value to clients.
 

Your opinion is valuable to us. Therefore, we appreciate your selection of answer(s) and welcome your additional comments.

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What are the states of Deployment and Integration in your company?

 

Bonus question for Startup in the AI Ecosystem

 

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We're eager to read your insightful statements ans speaking to you.
Kind regards.

 

What is the sum of 9 and 8?

Shape the Future of Ethical AI

Take the survey.

Your Voice counts. Thank you.

Building Trust. Introduction.

Building Trust with Responsible AI,
managing Risks and Ethical Considerations.

 
What is ´Responsible AI´ in a nutshell?
Responsible Artificial Intelligence as a framework with principles, policies, tools, and processes 
to ensure that AI systems are developed and operated in the service of good for individuals 
and society while still achieving transformative business impact. Source: MIT Sloan
Responsible AI practices must be carefully adopted and implemented from the beginning.

 

What is Human-centric AI in a nutshell?
Human-centered AI (HCAI), as a design philosophy, advocates prioritizing humans 
in designing, developing, and deploying intelligent systems, aiming to maximize 
the benefits of AI technology to humans and avoid its potential adverse effects. 
The HCAI methodological framework integrates seven components, 
including design goals, design principles, implementation approaches, design paradigms, 
interdisciplinary teams, methods, and processes. 
(This takes in account the framework`s implications.) Source: Xu, Gao, Dainoff
Human-centric values and fairness constitutes one of the AI principles defined by OECD.

 

What is ´Ethical AI´ in a nutshell?
Humans are susceptible to more than 180 cognitive biases. 
Ethical AI means embracing AI in a way that doesn’t harm humans. 
Ethical AI isn’t just good for humans, it’s good for business.
Ethical AI is having the courage and ethics cultivating a system and a relationship 
with customers whereby not simply the system always extract, 
but also where the value is shared, which leads to loyalty in the long term´. 
Sources: MIT Sloan

 

 

´People won’t trust companies
that they think are causing harm, 
and they are empowered
to join social movements against companies´. 
Source: MIT Sloan


It is crucial that AI get used responsibly, 
fairly, accurately, and ethically.