Holistic AI’s software platform is a scalable and structured solution that empowers your enterprise to minimise AI risks, adopt and scale AI with confidence, and enhance business performance.
The Holistic AI platforms operate based on 5 key AI risk verticals: Efficacy, Robustness, Privacy, Bias, and Explainability
The risk that a system underperforms relative to its use-case. Efficient and robust models performs well not only on the data used to train the model, but also on unseen data. This step includes:
The risk that the system fails in response to changes or attacks. The performance of a model tends to decrease over time due to changes in dynamic environments. There is also the risk posed by adversarial threats by malicious actors. This step covers:
The risk that the system is sensitive to personal or critical data leakage. Machine learning is intrinsically reliant on data, which can often be personal or sensitive. As machine learning increases in popularity, it is critical to learn how to protect privacy. This step covers:
The risk that the system treats individuals or groups unfairly. Machine learning can be used in critical applications, like recruitment or the judicial system. In these cases, it is especially important to ensure that algorithms do not discriminate and treat everyone equally. This step cover:
The risk that an AI system may not be understandable to users and developers. Explainability is essential for building and maintaining trust across the whole ecosystem of stakeholders. This step covers:
With artificial intelligence (AI) being increasingly used in high-stakes applications, such as in the military, for recruitment, and for insurance, there are growing concerns about the risks that this can bring. This is because algorithms can introduce novel sources of harm, where issues such as bias can be amplified and perpetuated by the use of AI. As such, recent years have seen a number of controversies around the misuse of AI, which have affected a range of sectors.
OpenAI's GPT-4 can now process image-based prompts in addition to text-based ones, although the output is still text-based for now. While OpenAI has implemented ethical safeguards, there are still risks in using GPT. Check out our most recent blog on the dangers.
On 15-16 February 2023, the first global summit on Responsible Artificial Intelligence in the Military Domain (REAIM) was held in the Netherlands. The US used the summit as an opportunity to put forth their “Political Declaration on Responsible Military Use of Artificial Intelligence and Autonomy.” In this blog, we begin by looking at the US’s latest development in promoting the adoption of responsible AI in the military, before briefly discussing investments into the military across the US and China, as well as the implications of AI in military capabilities on a macro-level, making a case for the growing importance of risk management and auditable methodologies.
Our automated AI Risk Management platform empowers your enterprise to confidently embrace AIGet Started