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Every startup wants an extension round, but there aren’t enough to go around

As venture capital funding continues to dry up, founders are scrambling to prolong their runways, regardless of how much cash they currently have on hand. However, the firms that require the most capital are having the most difficulty. To investors, it appears that everyone is in hard times. Founders are claiming that raising funds has become more challenging across the board, it appears that it is much more difficult for some than others.

Wa’il Ashshowwaf, co-founder and CEO of Reyets, a social justice app that helps individuals learn about their rights in various scenarios, believes it will be more challenging for innovators like himself who are aiming for more impact-driven storylines. He told TechCrunch that his company had three verbal commitments for bridge financing this year — prior to a formal round next year — but that all investors withdrew only weeks before checks were set to be made.

“Investors are responding to [startups] that are more sure bets than the ones that are early and unproven,” Ashshowwaf said. “For us in the impact space, the line between business and benefit corp or a social venture makes [the investment opportunity] a lot harder for them to digest rather than, say, manufacturing a widget.”

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FTC warns the AI industry: Don’t discriminate, or else

The Federal Trade Commission of the United States has just thrown a shot across the bow of the artificial intelligence business. On April 19, 2021, a staff attorney at the agency, which serves as the nation’s top consumer protection regulator, published a blog post regarding biased AI algorithms with the following warning: “Keep in mind that if you don’t hold yourself accountable, the FTC may do it for you.”
The post, titled “Aiming for truth, fairness, and equity in your company’s use of AI,” was notable for its tough and specific rhetoric about discriminatory AI. The author observed that the commission’s authority to prohibit unfair and deceptive practices “would include the sale or use of – for example – racially biased algorithms” and that industry exaggerations regarding the capability of AI to make fair or unbiased hiring decisions could result in “deception, discrimination – and an FTC law enforcement action.”

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