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Tag: EC AI

  • To benefit all, diverse voices must take part in leading the growth and regulation of AI | TechCrunch

    To benefit all, diverse voices must take part in leading the growth and regulation of AI | TechCrunch

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    Over the last 25 years, I’ve been a tech investor, founder, organizer, strategist and academic. I’m proud to be part of a growing group of diverse leaders shaping an innovation system that represents and benefits us all. But in recent months, I’ve become increasingly troubled by the absence of Latinx/e founders and leaders in today’s critically important conversations about AI’s growth and regulation.

    As AI’s presence in our lives increases, so does the number of diverse founders leveraging it to develop positive, socially impactful services and products. Because their unique life experiences inform these founders’ ingenuity, their startups often address critical social needs. When diverse founders succeed, society benefits.

    Yet their voices and perspectives remain largely absent from policy discussions and decisions that will shape the future of AI and its influence on our society.

    Unfortunately, such exclusion is part of a broader pattern within the startup and venture ecosystem. Those of Latinx/e heritage in the U.S. account for more than 20% of the U.S. population; they’ve founded half of all new businesses over the last decade (19% of which are tech-related), and contribute $3.2 trillion annually to the nation’s economy. As a group, they represent the fifth-largest economy in the world.

    As AI’s presence in our lives increases, so does the number of diverse founders leveraging it to develop positive, socially impactful services and products.

    Yet, despite their entrepreneurial talent and determination, Latinx/e founders remain overlooked and undervalued, receiving less than 2% of startup investment funding. Even when they receive it, it’s typically just a fraction of what’s awarded to their non-Hispanic counterparts.

    While historically underestimated, Latinx/e Americans are persevering and preparing to be a significant force in the U.S.’ future. Latinx/e college enrollment has more than doubled since 2000, and enrollment in science and engineering programs has grown by 65% over the last 10 years.

    Guillermo Diaz Jr., former CIO of Cisco, called today’s intersection of AI and tech with surging Latinx/e education, economic power, and employment “a light-speed moment,” noting that an increase in Latinx/e technology leadership means a far more prosperous U.S.A.

    When it comes to AI regulation, I understand and share some commonly voiced concerns and appreciate the recent clamor for quick regulation. But I don’t understand Latinx/e and diverse groups’ exclusion from the regulatory conversation.

    Last year, the Biden administration discussed AI regulations with leaders from companies like Open AI, Google, Amazon, Meta, Microsoft, and a handful of academics and advocates. But this group was too narrow. Underrepresented communities and our allies generally have a nuanced outlook on AI.

    On one hand, we are rightly concerned that AI technologies could perpetuate bias and discrimination. On the other, we are eager to ensure that diverse communities, founders, consumers and all Americans can benefit from AI’s many positive potential implementations. Regulations made without broad, nuanced perspectives could diminish AI’s benefits to diverse communities, leading to worse social and economic outcomes for everyone.

    Discussions about AI’s growth and regulation are fundamentally discussions about the future of society, and diverse groups will play a key role in that future. Before regulators finalize any significant policy changes, diverse, visionary startup founders and leaders should be engaged in discussing how to simultaneously develop an appropriate regulatory framework for AI technology while also creating the conditions to encourage diverse founders to have a say and play a meaningful role in the evolution of AI.

    In addition to creating thoughtful guardrails, policymakers should also be ideating about incentives like tax credits, STEM education grants, and training and recruitment programs to create pathways for diverse groups’ increased representation, contributions, and success within the growing AI sector.

    Like any transformative technology, advanced AI has risks and incredible positive potential for all. That means lawmakers need all of us to provide input to AI-related policies. It is imperative that they include diverse startup founders and leaders as they consider the AI incentives and regulations that will shape our collective future.

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    Carrie Andrews

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  • Can AI do ugly? | TechCrunch

    Can AI do ugly? | TechCrunch

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    W
    elcome to the TechCrunch Exchange, a weekly startups-and-markets newsletter. It’s inspired by the daily TechCrunch+ column where it gets its name. Want it in your inbox every Saturday? Sign up here.

    This week, some thoughts on AI aesthetics, the challenge of uninsurability, and how to pitch a biotech startup to non-experts. — Anna

    Too good to be true

    Most tools claiming to detect AI-generated text fail spectacularly, my colleague Kyle Wiggers reported. That’s a paradox. I’m only human, but a lot of the AI-written pitches I receive don’t pass the sniff test yet; their style and wordiness feel off.

    Then again, it is probably too early to expect machines to detect a je ne sais quoi, even if we can see it. As fellow TechCrunch writer Ron Miller observed recently, “it’s really like AI-generated art, which has a certain look and feel.”

    That look and feel was made funnily obvious in a recent experiment conducted on one of my favorite social media accounts, Ugly Belgian Houses.



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    Anna Heim

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  • The two faces of AI | TechCrunch

    The two faces of AI | TechCrunch

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    We all make mistakes. But sometimes we forget that technology does, too — especially when it comes to AI, which is still in its early days in many respects.

    © 2023 TechCrunch. All rights reserved. For personal use only.

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    Anna Heim

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  • Age tech at CES was much more than gadgets | TechCrunch

    Age tech at CES was much more than gadgets | TechCrunch

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    elcome to the TechCrunch Exchange, a weekly startups-and-markets newsletter. It’s inspired by the daily TechCrunch+ column where it gets its name. Want it in your inbox every Saturday? Sign up here.

    There was a lot going on in tech this week, and not just CES. But yes, CES was definitely worth watching closely, if only just for the rise of age tech. — Anna

    Better aging

    Following CES from a distance this year, I couldn’t help but notice how age tech, or silver tech, companies seemed to be in the spotlight — perhaps more than we expected.

    For instance, I read that Microsoft CEO Satya Nadella had visited the booth of AgeTech Collaborative, an initiative from U.S. senior advocacy group AARP to showcase “groundbreaking age tech innovations” during the event.

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    Anna Heim

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  • VCs are optimistic that AI investing will move beyond the hype in 2024

    VCs are optimistic that AI investing will move beyond the hype in 2024

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    Artificial intelligence startups had a wild ride in 2023. Everyone and their grandmother tried out some sort of AI tool, startups in the space raised rounds at 2021 valuations, there were high-profile shutdowns, and then to close out the year, we had all the drama surrounding Sam Altman and OpenAI — plus New York Times’ lawsuit against the company.

    With so much in the rearview mirror, it’s hard to predict what will happen with AI startups in 2024. But some people, like investors, make their living from shrewd bets, so TechCrunch+ recently asked more than 40 investors what they think AI investing could look like in 2024.

    Most investors told TechCrunch+ that they expect the current swell of funding to continue, but were optimistic that the industry is moving past its initial hype cycle and toward more durable businesses that will last. They also think that 2024 could see the beginning of a second wave of AI startups that are more verticalized, focused on specific sectors, and that move away from building layers on top of technologies from companies like OpenAI and Google.

    Lisa Wu, a partner at Norwest Venture Partners, expects opportunities in verticalized AI to be particularly attractive this year. She thinks that there could be lower risk in investing in these startups, as they won’t be as likely — or easily — replicated by legacy companies like Microsoft and Google.

    “These are AI applications with deep underlying knowledge of end-user workflows and access to industry-specific training data to make employees and teams more productive,” Wu said. “For example, law firms that effectively leverage AI will be able to offer their services at lower cost, higher efficiency and higher odds of favorable outcomes in litigation.”

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    Rebecca Szkutak

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  • Company executives can ensure generative AI is ethical with these steps | TechCrunch

    Company executives can ensure generative AI is ethical with these steps | TechCrunch

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    It’s becoming increasingly clear that businesses of all sizes and across all sectors can benefit from generative AI. From code generation and content creation to data analytics and chatbots, the possibilities are vast — and the rewards abundant.

    McKinsey estimates generative AI will add $2.6 trillion to $4.4 trillion annually across numerous industries. That’s just one reason why over 80% of enterprises will be working with generative AI models, APIs, or applications by 2026. Businesses acting now to reap the rewards will thrive; those that don’t won’t remain competitive. However, simply adopting generative AI doesn’t guarantee success.

    The right implementation strategy is needed. Modern business leaders must prepare for a future managing people and machines, with AI integrated into every part of their business. A long-term strategy is needed to harness generative AI’s immediate advantages while mitigating potential future risks.

    Businesses that don’t address concerns around generative AI from day one risk consequences, including system failure, copyright exposure, privacy violations, and social harms like the amplification of biases. However, only 17% of businesses are addressing generative AI risks, which leaves them vulnerable.

    Making good choices now will allow leaders to future-proof their business and reap the benefits of AI while boosting the bottom line.

    Businesses must also ensure they are prepared for forthcoming regulations. President Biden signed an executive order to create AI safeguards, the U.K. hosted the world’s first AI Safety Summit, and the EU brought forward their own legislation. Governments across the globe are alive to the risks. C-suite leaders must be too — and that means their generative AI systems must adhere to current and future regulatory requirements.

    So how do leaders balance the risks and rewards of generative AI?

    Businesses that leverage three principles are poised to succeed: human-first decision-making, robust governance over large language model (LLM) content, and a universal connected AI approach. Making good choices now will allow leaders to future-proof their business and reap the benefits of AI while boosting the bottom line.

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    Carrie Andrews

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  • Democracies are fragile, and hardware is hard | TechCrunch

    Democracies are fragile, and hardware is hard | TechCrunch

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    W
    elcome to the TechCrunch Exchange, a weekly startups-and-markets newsletter. It’s inspired by the daily TechCrunch+ column where it gets its name. Want it in your inbox every Saturday? Sign up here.

    Journalists and readers love scoops. But sometimes it’s important to state the obvious. This week, I’m reminded that democracies are fragile but that technology can help. And also that crowdfunding isn’t always the best way to launch an innovative product.

    On a side note, this newsletter will be taking a break until January 6 next year, so wishing you all happy holidays. — Anna

    Why agentic tech?

    When I read that a new venture firm called ex/ante had raised $33 million to invest in “agentic tech,” I got curious: What did that mean, and why were LPs such as Marc Andreessen and Union Square Ventures willing to back an emerging fund manager focusing on this category?

    I already had something to go on: Forbes’ Alex Konrad noted that ex/ante would invest in online privacy and security, and described agentic tech as “a fledgling term that the fund defines as technology that relates to human agency and rights in the digital age.” But I still wanted to know more, so I had a chat with its founder, 32-year-old Zoe Weinberg.

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    Anna Heim

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  • 'Mega-deals' could be inflating overall AI funding figures | TechCrunch

    'Mega-deals' could be inflating overall AI funding figures | TechCrunch

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    It’s safe to say that VCs struck while the iron was hot this year where it concerned generative AI.

    While venture capital investments overall fell compared to last year thanks to macroeconomic challenges and other related factors, startups in the generative AI space — and AI more broadly — did quite well.

    Funding for AI-related startups surpassed $68.7 billion in 2023, according to PitchBook, with generative AI vendors like OpenAI, Stability AI and Anthropic accounting for a substantial portion of that figure. And it appears that the sector will likely close the year with substantially higher investments than the past couple of years.

    But could the top-level numbers be misleading?

    A report on AI investment in Q3 by PitchBook, released this morning, found that “mega-deals” (i.e., multi-hundred-million-dollar investments from big-name backers) vastly inflated deal totals this year.

    For example, just a few months ago, Amazon pledged to invest up to $4 billion in Anthropic, the company developing the AI-powered chatbot Claude. OpenAI secured a $10 billion investment from Microsoft (albeit not all at once and partly in the form of cloud compute credits). Inflection AI, a firm creating what it describes as more “personal” AI assistants, raised $1.3 billion in a funding round led by Microsoft. The list goes on.

    In Q3, VC funding inclusive of mega-deals totaled around $22.1 billion. But after subtracting the tech-giant-led tranches secured by generative AI startups, the total is closer to $15.1 billion for the sector.

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    Kyle Wiggers

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  • Startups should consider hiring fractional AI officers | TechCrunch

    Startups should consider hiring fractional AI officers | TechCrunch

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    The AI skills gap is real. A recent study from Randstad, the recruitment company, found that job posts referencing generative AI skills have risen by 2,000% since March. It’s the third most sought-after skill set and one of the shortest in supply.

    The logical step for enterprise companies is to appoint a chief AI officer (CAIO) to kickstart their efforts. Earlier this year, Dylan Fox penned an opinion piece arguing that every Fortune 500 business needs a CAIO.

    “Companies that do not integrate AI into their product, operations, and business strategy will struggle to remain competitive — and fall behind those that do,” Fox wrote.

    It’s a compelling argument that makes sense at the enterprise level. But what about everyone else? Startups and scale-ups need to integrate AI just as badly — especially if they’re trying to fundraise in this AI moment. However, they often don’t have the resources or the organizational structure to support a senior executive focused exclusively on AI.

    This is where a fractional AI officer comes in. Fractional leadership is a recent workforce trend: seasoned executives with subject matter expertise working across two or more clients simultaneously, lending their talents to rapidly growing companies that need their specific skill set but can’t afford it full-time.

    Here’s the kicker: Having a fractional AI officer is superior to hiring full-time in one crucial respect. AI — especially generative AI — is such a new technology that breadth of experience across multiple companies gives fractional executives an edge over their full-time counterparts.

    The three stages of AI adoption

    While the promise of generative AI is significant, it’s hard for companies to establish a reliable ROI metric early in the adoption curve, especially in an environment where companies are expected to be more conservative in spending.

    Increasing productivity and workflow efficiency will likely be the No. 1 driver for generative AI adoption.

    Horizon 1: Workflow efficiency + productivity

    Due to the market challenges, companies are looking for ways to free up cash and lower spending to keep budgets flat in 2024. That’s why increasing productivity and workflow efficiency will likely be the No. 1 driver for generative AI adoption. A recent BCG study found that generative AI can drive significant improvements in workflows, operations, and internal tooling — participants who used GPT-4 completed 12% more tasks on average and 25% quicker than the control group without GPT-4. This is where we will see ROI first. Let’s call that Horizon 1.

    Horizon 2: Customer experience

    This is a great steppingstone into the next stage of generative AI adoption: improving customer experience. These days, customers expect drastically better — and more personalized — digital experiences. They’ll switch to your competitor if you don’t remember who they are or anticipate their needs. Generative AI can bring personalization to your digital experiences.

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    Carrie Andrews

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  • Can AI lift our spirits? | TechCrunch

    Can AI lift our spirits? | TechCrunch

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    The last quarter in venture capital was quite gloomy. Even AI didn’t change the picture that much, but its impact is starting to show in other ways. 

    © 2023 TechCrunch. All rights reserved. For personal use only.

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    Anna Heim

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