A podcast of our weak liberals taking on the subject of #AI https://flex.acast.com/audio.guim.co.uk/2024/07/15-61610-gnl.sci.20240715.eb.ai_climate.mp3 it gives you a #mainstreaming view of the mess we are making on this path. The big issue is not the actual “nature” of AI, though that is not without its own issues, what I am covering here is that #AI is reinforcing existing power structures and socioeconomic realities, #neoliberal #ideology and historical biases, this is driven by goals of enhancing efficiency, reducing costs, and maximizing profits, increased surveillance raises ethical concerns about privacy and freedoms, justified under the guise of security.
AI systems trained on data from the past 40 years are inherently biased by the socio-political context of that period, perpetuating outdated and obsolete beliefs. This historical bias locks in narrow ideological perspectives, particularly those associated with #neoliberalism and our 40 years worshipping at this #deathcult. This is not only a problem with AI, we continue to prioritize economic growth over social and environmental paths, with the resent election victory in the UK, the Labour Party’s is pushing the normal #mainstreaming established during the #Thatcher era, in this we see past ideologies continue to shape current #mainstreaming political.
It’s hard to know what path to take with this mess. Ethical frameworks like the #4opens and regulatory oversight to guide the responsible use of AI might help. By addressing the current mess and challenges, we might be able to work towards an AI path that reflects diverse perspectives and serves a more common good rather than reinforcing narrow #deathcult litany and hard right ideological objectives it currently is used for. Recognizing and addressing the current challenges in AI development is the first step towards change.