At White Label Consultancy, we acknowledge and embrace the transformative potential of Artificial Intelligence (AI) and the numerous challenges it brings across diverse sectors.
That is why we are proud to collaborate on AI4Gov, an EU-funded initiative focused on leveraging AI for evidence-based innovations while tackling pressing ethical issues like discrimination and biases in democratic societies.
In our efforts to raise awareness on this topic, we launched a blog series focusing on the regulatory and ethical dimensions of AI.
- Part one of our analysis delved into the evolution of AI regulation within the EU and its alignment with fundamental rights (available here).
- Part two shifted the focus from the EU to examine how AI is regulated in the United States, UAE, and China, exploring how they balance technological progress with legal obligations (available here).
In this third session, we delve deeper into the critical issue of biases embedded in AI algorithms. We explore the distinction between key terms, such as bias and discrimination, and their implications for inequitable outcomes among vulnerable groups. Drawing on this understanding, we navigate the complex issue of algorithmic discrimination and examine the potential impact of human oversight, both beneficial and detrimental.
Additionally, we begin the discussion on strategies and perspectives aimed at promoting fairness, inclusivity, and gender equality in artificial intelligence. By introducing the Assessment List of Trustworthy AI, we lay the foundation for our next and final session. This forthcoming session will offer concrete guidelines to address the importance of proactive measures in mitigating biases and upholding ethical standards in AI development and deployment. Through these discussions, we aim to cultivate a deeper awareness of the challenges and opportunities in creating ethical AI systems that serve the interests of all individuals.
Read more about it here: AI4Gov Session 3 Impact of AI on Gender discrimination.
