What are the risks you foresee with implementing AI in your organization?

Implementing AI in an organization can bring several risks, including:

1. Data Privacy and Security: AI systems often require large amounts of data, which can include sensitive information. Ensuring this data is protected from breaches and misuse is critical

2. Bias and Discrimination: AI algorithms can inadvertently perpetuate biases present in the training data, leading to unfair or discriminatory outcomes.

3. Lack of Transparency: AI systems, especially those using complex models like deep learning, can be difficult to interpret and explain, making it hard to understand how decisions are made.

4. Regulatory and Compliance : Navigating the legal landscape for AI, which is still evolving, can be challenging. Non-compliance can result in legal penalties and reputational damage.

Responsible and trustworthy AI - Bias, Hallucinations, Transparency, Accountability, Fairness and Equity, Diversity and Inclusion, Reliability, Privacy and Data Security

Governance - Comprehensive AI Policy, Program, Risk Assessment process, Third party risk management

Mitigate risks - Ensure human-in-loop; Educate employees, KPI/KRI/KCI metrics/monitoring, tools/tech to mitigate risks.

Loss of IP data like codebase, statistics, presentations, white paper details, etc. An organization closely needs to evaluate the risks of these important pieces of information inadvertently getting leaked by employees while reviewing/improving those.

I always like to refer people back to this whitepaper: https://team8.vc/wp-content/uploads/2023/04/Team8-Generative-AI-and-ChatGPT-Enterprise-Risks.pdf

I feel the most impactful overall risk is the same as a lot of emerging technologies that aggerate data - Data Governance. The key is to protect against non-malicious data leakages or unauthorized exposures. The main risk to a human is impact from an undetected bias or failed safety control.