It ain't over 'til the fat lady sings, but she's certainly stage left and clearing her throat. Having kicked down PC door on the vertically challenged front and ruined my social credit score and UBI CBDC payment, let's move swiftly on to the wicked wild wild west of the Tech Cartel, bathing in our data as we read.
Currently the AI industry is on a path to gain control of human knowledge for the benefit of a small number of individuals and companies. The incredible desire to lose money for the sake of data, our data, should be a worry for everyone in the free market because the tech cartel will get the trillions it is asking for. They and the Elites funding the show will get all the benefits, buying off our governments with perks, while we, the future generations and our planet will be the ones paying the price.
There are justifiable concerns over data broking, copyright and transparency. We need to collaborate now because in two years time with central bank digital currency and full supply chain control, an era of digital feudalism will be set in stone. The cloud capitalists will be fine, running our social feeds brainwashing us into metaverse caged drones that see no evil, hear no evil and speak no evil, working and consuming their way until we die.
Pandora's box had Hope we need Ethical AI
Ethical AI is the field within artificial intelligence that focuses on ensuring AI systems are developed and used in ways that respect human values and avoid causing harm. So we need:-
- Fairness: Making sure AI systems don't falsely or positively discriminate based on factors like race, gender, ethnicity, religion, sexual orientation, or other protected characteristics. That dissolves our anchors to traditions, culture and customs.
- Transparency: Being able to explain how AI systems make decisions and why they reach specific outcomes.
- Accountability: Establishing clear lines of responsibility for the actions and results of AI systems including paying what is due to everyone in the chain,
- Safety and Security: Protecting users and ensuring that AI systems are reliable and not vulnerable to misuse.
- Privacy: Respecting individuals' data and how their personal information is collected, used, and shared.
- Human oversight: Emphasising the importance of humans always having ultimate control and the capacity to override AI decisions when necessary.
- Social well-being: Considering the broader societal implications of AI and working to ensure it benefits society as a whole rather than causing harm or widening inequality.
- Preventing harm: AI will perpetuate biases and make discriminatory decisions if not carefully designed. Ethical AI helps prevent these outcomes.
- Building trust: Transparency and accountability increase public confidence in AI systems, making people more comfortable using them.
- Driving responsible innovation: Ethical considerations encourage responsible development and implementation of AI, promoting a focus on its positive impacts. This must be in the hands of the many not the few. Governments take note!
- Mitigating future risks: As AI becomes more powerful, addressing ethical concerns now becomes essential to avoiding the negative consequences that will guarantee a dystopian digital future.
So how to Build Ethical AI Systems
- Diverse teams: Involve people from various backgrounds and perspectives in AI development as well as people to democratise outcomes and reduce blind spots and biases including the prioritising the agenda of the brands and those at the top of the pyramid.
- Bias testing: Regularly check AI datasets and models for inherent biases and actively work to mitigate them.
- Explainability: Design AI systems, especially those that make important decisions, with the ability to explain their reasoning.
- Accountability frameworks: Establish clear processes for who is responsible for AI decisions and create mechanisms for addressing issues. (see also 5)
- Continuous monitoring: A Government department, made up of a body of people from across society that is elected regularly by the people. Its remit to regularly evaluate AI systems before and after deployment, remaining alert to potential unintended consequences.
- User education: Foster public understanding of AI capabilities, the role of cookies and algorithms, and their limitations to promote responsible use.
The allegations of data theft against the Tech Cartel raise serious ethical concerns that directly conflict with the principles of modern business practice not just ethical AI:
- Privacy Violations: When any AI company collects and uses data without explicit consent, or in ways that violate established privacy expectations, this undermines the foundation of ethical AI. Individuals have a right to control their personal information, we worked hard for our knowledge since time immemorial.
- Lack of Transparency: If the data collection and usage practices were/are not transparent, it violates the need for explainability in AI systems. Users have the right to understand how their data is used to power AI models.
- Broken Trust: Regardless of whether the data collection was illegal or simply unethical, these cases significantly erode public trust in AI and corporations. This makes responsible adoption of AI technologies much more difficult.
- Potential for Bias: Datasets obtained without proper consent or de-identification could introduce harmful biases into AI models, leading to discriminatory outcomes and replicating existing societal inequalities.
- Context is Key: The severity of the ethical breach depends on the specific details of the data collected. If personally identifiable information or particularly sensitive data were included, the violation is even more serious.
- Legal vs. Ethical: While the upcoming lawsuits will hopefully see justice served, although doubtless a compromise deal is done; there's a separate question of whether the tech cartel's actions fall short of what should be enshrined as ethical AI principles, .
- Future Impact: This incident highlights the need for stricter regulations and industry-wide ethical standards for AI development. A cartel cannot be trusted to self-regulate as they have acted like foxes in hen houses to the detriment of workers, consumers and the Governments they have in their pockets.
It's important to await the outcome of the lawsuits to have a clearer picture of exactly what has happened and is still happening, however, the trends highlight why ethical AI is crucial and, how data collection practices must be prioritised in the development of AI systems.
To kick off, our Governments need to stop going to conferences in overseas locations for selfies, ban lobbyists and consultants with vested interests and use the common sense nature gave them. If they can't do that there are plenty that can.
Less screen time, start growing your own food and be pure, be vigilant and behave!
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