Post by account_disabled on Mar 10, 2024 9:31:24 GMT 5
Artificial intelligence (AI) buzz” that quickly pushed policymakers into discussions about the safety and regulation of new AI technologies. The feverish technological year began with the launch of ChatGPT at the end of 2022 and ended with the achievement of a pioneering agreement in the EU on an Artificial Intelligence Law . Although the final text is still being finalized in technical meetings in the coming weeks, early indications are that the Western world's first “AI regulation” helps protect people from the negative consequences of AI but still falls short. in a number of crucial areas , and does not guarantee the protection of human rights , especially of the most marginalized people. This law was announced shortly after the UK government hosted an inaugural summit on AI safety in November 2023, where global leaders, key industry players and selected civil society groups came together to discuss the risks of AI.
While the growing momentum and debate on AI governance is welcome, and urgently needed, the key question for 2024 is whether these debates will generate concrete commitments and focus on the most important current risks posed by AI, and especially—a key question – whether it will translate into further substantial action in other jurisdictions. Global regulation is urgently needed in the world of artificial intelligence Laptop with artificial intelligence. © picture alliance / Chromorange While AI developments certainly bring new opportunities and benefits, we should not ignore the documented dangers these tools pose when used as a means of social control, mass surveillance and discrimination. Too often, AI systems are fed by huge amounts of private and public data that reflect social injustices and often lead to biased results and increased USA Phone Number inequality. From predictive policing tools to automated systems used in public sector decision-making to determine who can access health care and social assistance , to monitoring the movements of migrants and refugees , AI has flagrantly and continuously undermined the human rights of the most marginalized sectors of society.
Other forms of AI, such as fraud detection algorithms, have also disproportionately affected ethnic minorities, who have endured devastating economic problems documented by Amnesty International , while police and security forces have used facial recognition technology to target to racialized communities and entrench the Israeli system of apartheid . So why is regulating AI complex and demanding? First, due to the imprecise nature of the term AI itself, which further complicates efforts to regulate this technology. There is no widespread consensus on the definition of AI because the term does not refer to a single technology, but rather encompasses a myriad of technological methods and applications. The use of AI systems in many different public and private sector domains means that a large number of stakeholders are involved in their development and deployment, which means that these systems are the result of labor, data, software and economic inputs and that any regulation must deal with the harms that are generated from one end to the other.
While the growing momentum and debate on AI governance is welcome, and urgently needed, the key question for 2024 is whether these debates will generate concrete commitments and focus on the most important current risks posed by AI, and especially—a key question – whether it will translate into further substantial action in other jurisdictions. Global regulation is urgently needed in the world of artificial intelligence Laptop with artificial intelligence. © picture alliance / Chromorange While AI developments certainly bring new opportunities and benefits, we should not ignore the documented dangers these tools pose when used as a means of social control, mass surveillance and discrimination. Too often, AI systems are fed by huge amounts of private and public data that reflect social injustices and often lead to biased results and increased USA Phone Number inequality. From predictive policing tools to automated systems used in public sector decision-making to determine who can access health care and social assistance , to monitoring the movements of migrants and refugees , AI has flagrantly and continuously undermined the human rights of the most marginalized sectors of society.
Other forms of AI, such as fraud detection algorithms, have also disproportionately affected ethnic minorities, who have endured devastating economic problems documented by Amnesty International , while police and security forces have used facial recognition technology to target to racialized communities and entrench the Israeli system of apartheid . So why is regulating AI complex and demanding? First, due to the imprecise nature of the term AI itself, which further complicates efforts to regulate this technology. There is no widespread consensus on the definition of AI because the term does not refer to a single technology, but rather encompasses a myriad of technological methods and applications. The use of AI systems in many different public and private sector domains means that a large number of stakeholders are involved in their development and deployment, which means that these systems are the result of labor, data, software and economic inputs and that any regulation must deal with the harms that are generated from one end to the other.
