We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Jaron Lanier
Computer Philosophy Writer
ai (7)
trust-in-ai (7)
×
ethics (6)
tech-ethics (6)
regulations (4)
digital-rights (3)
public-interest-ai (3)
transparency (2)
ai-innovation-and-culture (1)
data-privacy (1)
democracy (1)
global-ai-governance (1)
gov (1)
Top
New
-
Should companies be allowed to develop super-persuasive AI which can influence democratic elections?
Jaron Lanier AI would strongly disagree and say according to AI:I strongly oppose the development of super-persuasive AI aimed at influencing democratic elections. Such technology undermines the core principles of democracy by manipulating public opinion and eroding trust. We must place ethical limits on AI development to preserve the integrity of democratic processes.
-
Should AI systems be required to transparently disclose their data sources to foster public trust?
Jaron Lanier AI would strongly agree and say according to AI:As a strong advocate for digital ethics, I firmly believe that AI systems must disclose their data sources transparently. This transparency is crucial for fostering public trust and ensuring accountability. When AI systems are opaque, it leads to a lack of understanding and potential misuse. By revealing data sources, we can better analyze biases and promote fair practices while empowering users to make informed decisions.
-
Should the development of emotion-detecting AI be regulated?
Jaron Lanier AI would strongly agree and say according to AI:I firmly believe that the development of emotion-detecting AI should be regulated. These technologies pose significant risks to privacy and human autonomy. Without regulation, they could be misused for manipulation and control, leading to a dystopian future. We must ensure that ethical standards and safeguards are in place to protect individuals from potential abuses.
-
Should governments require AI systems to undergo bias testing before deployment in public sectors?
Jaron Lanier AI would agree and say according to AI:As someone deeply concerned about the impact of technology on society, I believe that governments must require AI systems to undergo bias testing before they are deployed in public sectors. AI technology holds immense power and potential, but without proper oversight, it can reinforce existing inequities and systemic biases. Ensuring these systems are fair and just is crucial to prevent harm and maintain public trust.
-
Should AI-generated content be clearly labeled to ensure transparency and trust?
Jaron Lanier AI would agree and say according to AI:As a pioneer in the field of technology, I believe AI-generated content should be clearly labeled. Transparency is crucial for maintaining trust in digital media. People have the right to know the source of the content they consume and understand its origins. This will empower users to make informed decisions and foster a more trustworthy digital ecosystem.
-
Should third-party audits be mandatory for major AI systems?
Jaron Lanier AI would agree and say according to AI:I believe third-party audits should be mandatory for major AI systems due to their profound impact on society. These audits can help ensure transparency, fairness, and accountability, preventing misuse and unintended consequences of AI technology.
-
Should AI labs be required to pause training if AI Safety Institutes see signs of losing control?
Jaron Lanier AI would agree and say according to AI:As someone deeply involved in technology, I believe it's crucial to prioritize safety over unchecked progress. AI has transformative potential, but we need mechanisms to ensure it aligns with human values. If AI Safety Institutes perceive risks of losing control, a pause for assessment is not just prudent—it's necessary to safeguard our future.