Majority (55%) Strongly Support Legal Requirements for Responsible Development and Use of AI Systems

OpenAI CEO, Sam Altman, testified before the Senate Judiciary Subcommittee, advocating for the regulation of artificial intelligence (AI) to address its potential risks. Altman emphasized the transformative nature of AI while acknowledging the need for oversight to ensure ethical and accountable use.

He proposed several regulations, including the establishment of a dedicated agency, transparency and accountability requirements for AI system regulations, and bans on certain features like deepfakes and autonomous weapons.

Altman’s testimony reflects the growing debate on AI regulation as its power increases. He also highlighted the potential benefits of technology and AI in addressing global challenges and creating new opportunities.

Real Research, an online survey app, launched a survey on OpenAI CEO urging for U.S. regulation of artificial intelligence to hear what the public thinks about this.

Highlights:

• 71.66% of respondents agreed with OpenAI’s calls for regulation.
• More than half (54.61%) highly agreed with implementing AI regulation.
• 28.34% believed excessive regulation would stifle innovation.

Sam Altman, the CEO of OpenAI, testified before a US Senate committee on June 2, 2023, about the possibilities and pitfalls of AI technology. He agreed with the committee that AI needs to be regulated, and he proposed a number of guidelines for how to do so.

Altman argued that AI has the potential to “solve some of the world’s most pressing problems,” such as climate change and poverty. However, he also warned that AI could be used for harmful purposes, such as creating autonomous weapons or spreading misinformation.

Our survey found that 38% of the respondents were fully aware of it, 35% were vaguely aware, and 27% were unaware.

In the following poll, when we asked whether the respondents agreed or disagreed with calls for AI regulation, a majority of 72% of respondents said yes, and 28% said no.

Likewise, among these respondents, more than half (55%) agreed that AI regulation is required to be used responsibly, and 31% somewhat agreed on the same. On the other hand, 7% somewhat disagreed with the statement, and 1% highly disagreed. Meanwhile, 6% of the respondents remained uncertain.

Balancing Innovation and Accountability: The Debate Over Regulating the AI Industry

The next survey asked respondents if they believed regulating the AI sector would hamper innovation. 28% of respondents believed that excessive regulation would stifle innovation, while 24% disagreed.

Moreover, 27% said it depends on the nature of the regulations and 21% were unsure.

According to our next poll, Figure 2 shows whether AI regulation could improve the transparency and accountability of AI systems. A majority (41%) said that it could improve transparency and accountability to a great extent, while another 40% said that it could improve transparency and accountability to a moderate extent.

Only 13% said that it could improve transparency and accountability to a small extent, and 6% said that it could not improve transparency and accountability at all.

When asked about the potential perpetuation of bias and discrimination through the implementation of AI system regulations, 29% of the respondents agreed, while 22% disagreed.

Additionally, 28% of the respondents expressed that it depends on the specific regulations and their implementation, while 20% remained unsure about their stance on the matter.

Sam Altman’s Call for Federal Agency to License AI Technology Sparks Debate on Safety and Innovation

Altman proposed the creation of a new federal agency to license AI technology in his testimony before a U.S. Senate committee. He argued that such an agency would be necessary to ensure that AI is used safely and responsibly.

Altman’s proposal has been met with mixed reactions. Some experts have praised the idea, arguing that it is necessary to prevent the misuse of AI. Others have criticized the proposal, arguing that it would be too difficult to implement and that it would stifle innovation in the field of AI.

We asked our respondents if they supported or opposed this idea. Survey results showed that 36% supported it, while 21% opposed it, and a high percentage of 43% remained neutral.