AI for U
AI for U helps organizations to adopt AI responsibly,
with focus on business growth and social impact,
while generating awareness
on data management and transparency.
AI is everywhere already.
Let's use it for good.
About us
What we do?
Valuing Responsible AI (RAI) in your organization is just the beginning. Timely assessments and structured frameworks are needed to make it happen.
AI for U helps your organization in this journey.
Valuing Responsible AI (RAI) in your organization is just the beginning.
Timely assessments and structured frameworks are needed to make it happen.
AI for U helps your organization in this journey.
Assessments
Taking our assessments will provide a clear risk mapping and areas to work to manage data-privacy, bias, AI explainability (XAI) and reputational exposure.
Workshops
With awareness of responsible AI (RAI), while identifying key initiatives to manage AI-driven processes, will help avoiding reputational, compliance and legal risks at all levels.
Consulting
Defining a plan to build a Responsible AI framework by operationalizing data to avoid pitfalls along the way.
„Over 50% of executives report "major" or "extreme " concern about the ethical and reputational risk of AI in their organization.”
— R. Blackman
Organizations and society are fully immersed into Data Analytics, AI, Big Data.
This immersion demands full organizational responsibility to manage AI ethics programmatically to mitigate risks.
Blockchain could help ambiguous AI make sense of messy data | AI Magazine
Can emergent technologies, while harming privacy, become their own cure?
Can emergent technologies, while harming privacy, become their own cure?
This article talks about how Blockchain can help AI manage data to mitigate bias and ambiguity.
Here’s Why Businesses Are Having A Tumultuous Love-Hate Relationship With AI Ethics Boards
What is the role of AI ethics advisory boards necessary at organizations?
Doing AI Ethics is like preparing for an earthquake. Readiness is necessary and a short-term view won't help to be prepared.
Start today
Start by identifying the areas where your organization needs to focus to avoid reputational, ethical or regulatory risks related to adoption of AI and emergent technologies.