Kairoi logo

AI Ethics & Research Governance Consultancy

Philipp Schmitt / Better Images of AI / Data flock (digits) / CC-BY 4.0

Kairoi

/kye-roi/

Kairoi (pronounced /kye-roy/) is from the Ancient Greek word for opportune time. It is about taking advantage of moments when decisions are critical.


At Kairoi, we believe most decisions in tech have the potential to lead to great social impacts. We help our clients identify these crucial decisions, anticipate their consequences and implement safeguards to guide decision-making processes.

Uncovering Values behind Sustainable Innovation

We work with innovators to articulate what they believe in. Kairoi doesn’t offer a one-size-fits-all approach to responsible AI governance. Rather, we help organisations uncover the values they hold dearly to ensure these are applied consistently across their structures.

Developing Structures that Drive Positive Impact

Communicating moral principles isn’t good enough. At Kairoi, we design tailored mechanisms to implement otherwise abstract values. These mechanisms are implemented to diverse departments, to ensure responsible practices are embedded throughout organisations.

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Organisations we have proudly worked with:

News

15th February 2023

Kairoi’s founder and director shares the journey of naming Kairoi and creating an impactful logo that captures its values. Credibility and inclusion are key components in the ambitious project of shaping the moral fibre of future technological advancements that can have significant social consequences.

25th January 2023

Kairoi contributes to ground-breaking report on research ethics committees in AI and data science research. The report’s launch event was hosted by the Ada Lovelace Institute on 24th January 2023. The event’s panel included colleagues from the Universities of Southampton, Exeter and Stanford, as well as DeepMind.

18th January 2023

The marketplace of AI Ethics solutions is booming, and Kairoi is defining a niche. The potential impact of  stakeholders of artificial intelligence (AI) technologies varies greatly, and Kairoi’s approach is to work with clients to understand their values and co-design interventions for them to lead the responsible AI revolution.

16th March 2023

On 21st March, we’ll be at AIUK, the UK’s national showcase of data science and artificial intelligence (AI) research and systems. We will be supporting the Data Hazards project¹ led by Dr. Natalie Zelenka and Dr. Nina Di Cara from University of Bristol’s Jean Golding Institute, 

4th March 2023

On 20th March, 11am (UTC), you will have the chance to review the ethics of artificial intelligence (AI) research projects. We have partnered with the Ada Lovelace Institute and University of Exeter’s Institute for Data & AI to facilitate discussions about the ethics of AI research proposals. The session is online.

15th February 2023

Kairoi’s founder and director shares the journey of naming Kairoi and creating an impactful logo that captures its values. Credibility and inclusion are key components in the ambitious project of shaping the moral fibre of future technological advancements that can have significant social consequences.

25th January 2023

Kairoi contributes to ground-breaking report on research ethics committees in AI and data science research. The report’s launch event was hosted by the Ada Lovelace Institute on 24th January 2023. The event’s panel included colleagues from the Universities of Southampton, Exeter and Stanford, as well as DeepMind.

18th January 2023

The marketplace of AI Ethics solutions is booming, and Kairoi is defining a niche. The potential impact of  stakeholders of artificial intelligence (AI) technologies varies greatly, and Kairoi’s approach is to work with clients to understand their values and co-design interventions for them to lead the responsible AI revolution.

25th January 2023

Kairoi contributes to ground-breaking report on research ethics committees in AI and data science research. The report’s launch event was hosted by the Ada Lovelace Institute on 24th January 2023. The event’s panel included colleagues from the Universities of Southampton, Exeter and Stanford, as well as DeepMind.