Responsible AI & Tech for Good

I can help with

Detecting unintended negative consequences of AI applications

AI is a powerful tool in our arsenal for helping humanity, let it be distributing healthcare solutions or accelerating scientific and various other creative work.
However, many AI practitioners started sounding the alarm of the negative unintended consequences of this technology, over the past years (way before LLMs became popular). Problems, such as AI-related discrimination have come up in recommendation algorithms, credit score ranking, insurance, social media feeds, healthcare, jurisdiction and many other areas. The new era of generative models and their ever-appearing applications just deepened the impact. Fortunately, many solutions have arisen as well, e.g. mitigating encoded social bias. You can read more on the issues and solutions on my blog.

I’m happy to help find suitable benchmarks for your specific use case.

Sustainable products in the long run

A sustainable business requires solutions which keep customers satisfied and healthy in the long run. This needs more than a product that produces convincing immediate results. By planning for mitigating unintended consequences from the get-go, companies can avoid the risk of scandals and bad press, which can be fatal for a small/mid-sized enterprise.

I can help thinking through your company’s product goals, and build up an AI strategy to grow into a sustainable business.

AI regulation-proof products

Governments have started recognising and acting upon AI safety as well. As regulations such as the EU AI Act, the UK AI regulation, the US AI regulation and China’s AI regulation are being developed, companies have an even bigger incentive to set up proper benchmarks and internal audits for their Machine Learning models. 

I can help with making sure your company is prepared.

Read more on my experience regarding Responsible AI & Tech for Good

Services

Free First Consultation

Book a Free 30-minute first consultation, to discuss your needs.

AI Strategy Building

Help your team build your AI strategy. From high-quality data, and choosing the right model to using the right evaluation metrics.

Prototyping

Getting started with your new AI solution.

Previous
Previous

AI for Companies

Next
Next

AI for Creatives